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[cited 2024 Apr 17].  Available from: https:\/\/www.drugs.com\/pill_identification.html."},{"key":"ref6","series-title":"2011 IEEE International Conference on Systems, Man, and Cybernetics","first-page":"1106","article-title":"A visual inspection system for drug tablets","author":"Morimoto","year":"2011"},{"key":"ref7","series-title":"Proceedings of the 2000 International Conference on Image Processing (ICIP 2000)","first-page":"493","article-title":"Robust image registration using log-polar transform","volume":"Vol. 1","author":"Wolberg","year":"2000"},{"key":"ref8","series-title":"2011 First ACIS\/JNU International Conference on Computers, Networks, Systems and Industrial Engineering","first-page":"387","article-title":"Drug image retrieval by shape and color similarity of the medication","author":"Kim","year":"2011"},{"key":"ref9","series-title":"IASTED International Conference on Computer Vision 2011","first-page":"188","article-title":"Instant medical pill recognition on mobile phones","author":"Hartl","year":"2011"},{"key":"ref10","author":"Hartley","year":"2003","journal-title":"Multiple view geometry in computer vision"},{"key":"ref11","first-page":"317","author":"Shafait","year":"2008","journal-title":"Document recognition and retrieval XV"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.cviu.2003.09.002","article-title":"A linear-time component-labeling algorithm using contour tracing technique","volume":"93","author":"Chang","year":"2004 Feb","journal-title":"Comput Vis Image Understand"},{"key":"ref13","first-page":"172","author":"Susstrunk","year":"2000","journal-title":"Color imaging: device-independent color, color hardcopy, and graphic arts VI"},{"key":"ref14","series-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops","first-page":"17","article-title":"Instant segmentation and feature extraction for recognition of simple objects on mobile phones","author":"Hartl","year":"2010"},{"key":"ref15","series-title":"1992 11th IAPR International Conference on Pattern Recognition","first-page":"133","article-title":"Pairwise representations of shape","volume":"1","author":"Evans","year":"1992"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/34.400564","article-title":"On critical point detection of digital shapes","volume":"17","author":"Zhu","year":"1995","journal-title":"IEEE Transact Pattern Analy Mach Intell"},{"key":"ref17","series-title":"2012 19th IEEE International Conference on Image Processing","first-page":"1005","article-title":"Automatic identification of prescription drugs using shape distribution models","author":"Caban","year":"2012"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1145\/571647.571648","article-title":"Shape distributions","volume":"21","author":"Osada","year":"2002 Oct","journal-title":"ACM Transact Graph"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1016\/j.patrec.2011.08.022","article-title":"Pill-ID: matching and retrieval of drug pill images","volume":"33","author":"Lee","year":"2012 May","journal-title":"Pattern Recognit Lett"},{"key":"ref20","author":"Gonzalez","year":"1992","journal-title":"Digital image processing Addison"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004 Nov","journal-title":"Int J Comput Vis"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","article-title":"A comparative study of texture measures with classification based on featured distributions","volume":"29","author":"Ojala","year":"1996 Jan","journal-title":"Pattern Recognit"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","article-title":"Multiresolution gray-scale and rotation invariant texture classification with local binary patterns","volume":"24","author":"Ojala","year":"2002 Jul","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref24","unstructured":"Drugs.com. [cited 2024 Mar 15]. Available from: https:\/\/www.drugs.com\/pill_identification.html."},{"key":"ref25","first-page":"2995","article-title":"An automatic drug image identification system based on multiple image features and dynamic weights","volume":"8","author":"Chen","year":"2012 May","journal-title":"Int J Innov Comput Inform Cont"},{"key":"ref26","author":"Woods","year":"2002","journal-title":"Digital image processing"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/S0031-3203(98)00036-3","article-title":"Color-based object recognition","volume":"32","author":"Gevers","year":"1999","journal-title":"Pattern Recognit"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"23801","DOI":"10.1007\/s11042-022-12568-x","article-title":"Enhanced hybrid CBIR based on multichannel LBP oriented color descriptor and HSV color statistical feature","volume":"81","author":"Latha","year":"2022 Mar","journal-title":"Multim Tools Appl"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1007\/s11263-009-0285-2","article-title":"Improving bag-of-features for large scale image search","volume":"87","author":"J\u00e9gou","year":"2010 Aug","journal-title":"Int J Comput Vis"},{"key":"ref30","unstructured":"MPEG-7 Overview. [cited 2024 Apr 14]. Available from: https:\/\/www.mpeg.org\/standards\/MPEG-7\/."},{"key":"ref31","first-page":"525","article-title":"Evaluation of discrimination power of features in the pattern classification problem using Arif index and its application to physiological datasets","volume":"7","author":"Arif","year":"2011 Feb","journal-title":"Int J Innov Comput, Inform Cont"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1007\/s11263-009-0237-x","article-title":"Optimizing gabor filter design for texture edge detection and classification","volume":"84","author":"Sandler","year":"2009 Apr","journal-title":"Int J Comput Vis"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/S1874-1029(08)60082-8","article-title":"Gabor wavelet selection and SVM classification for object recognition","volume":"35","author":"Shen","year":"2009 Apr","journal-title":"Acta Automatica Sinica"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3390\/a3010044","article-title":"Breast cancer detection with Gabor features from digital mammograms","volume":"3","author":"Zheng","year":"2010","journal-title":"Algorithms"},{"key":"ref35","first-page":"4055","article-title":"Common vector analysis of Gabor features with kernel space isomorphic mapping for face recognition","volume":"6","author":"Li","year":"2010 Sep","journal-title":"Int J Innov Comput Informa Cont"},{"key":"ref36","series-title":"2014 22nd International Conference on Pattern Recognition","first-page":"3156","article-title":"Pill recognition using imprint information by two-step sampling distance sets","author":"Yu","year":"2014"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1049\/iet-ipr.2014.1007","article-title":"Accurate system for automatic pill recognition using imprint information","volume":"9","author":"Yu","year":"2015 Dec","journal-title":"IET Image Process"},{"key":"ref38","series-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","first-page":"2963","article-title":"Detecting text in natural scenes with stroke width transform","author":"Epshtein","year":"2010"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1109\/TIP.2003.816010","article-title":"Distance sets for shape filters and shape recognition","volume":"12","author":"Grigorescu","year":"2003 Oct","journal-title":"IEEE Trans Image Process"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"973","DOI":"10.21917\/ijivp.2015.0143","article-title":"The identification of pill using feature extraction in image mining","volume":"5","author":"Hema","year":"2015 Feb","journal-title":"ICTACT J Image Video Process"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s11042-009-0362-0","article-title":"Robust image retrieval based on color histogram of local feature regions","volume":"49","author":"Wang","year":"2009 Oct","journal-title":"Multimed Tools Appl"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1007\/11744023_32","author":"Bay","year":"2006","journal-title":"Computer vision\u2013ECCV 2006"},{"key":"ref43","series-title":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","first-page":"1","article-title":"Pill image binarization for detecting text imprints","author":"Suntronsuk","year":"2016"},{"key":"ref44","unstructured":"Pill Identifier Tool. [cited 2024 Sep 20]. Available from: https:\/\/www.drugs.com\/imprints.php."},{"key":"ref45","series-title":"2017 9th International Conference on Knowledge and Smart Technology (KST)","first-page":"288","article-title":"Automatic text imprint analysis from pill images","author":"Suntronsuk","year":"2017"},{"key":"ref46","author":"Gonzalez","year":"2009","journal-title":"Digital image processing"},{"key":"ref47","series-title":"Proceeding of the 2nd. International Workshop on Camera-Based Document Analysis and Recognition","first-page":"137","article-title":"Comparison between pen-scanner and digital camera acquisition for engraved character recognition","volume":"130","author":"Mancas-Thillou","year":"2007"},{"key":"ref48","series-title":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","first-page":"629","article-title":"An overview of the tesseract OCR engine","volume":"2","author":"Smith","year":"2007"},{"key":"ref49","article-title":"Color and shape recognition of pills using image processing","volume":"7","author":"Ranjitha","year":"2019 Jun","journal-title":"Int J Eng Res Technol"},{"key":"ref50","series-title":"2021 4th International Conference on Information Communication and Signal Processing (ICICSP)","first-page":"399","article-title":"Color compensation based on color background shadow for pill identification","author":"Chokchaitam","year":"2021"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1016\/j.protcy.2014.10.174","article-title":"HelpmePills: a mobile pill recognition tool for elderly persons","volume":"16","author":"Cunha","year":"2014","journal-title":"Procedia Technology"},{"key":"ref52","unstructured":"Structural Analysis and Shape Descriptors\u2014OpenCV 3.0.0-dev documentation. [cited 2021 May 23]. Available from: https:\/\/docs.opencv.org\/3.0.0\/d3\/dc0\/group__imgproc__shape.html."},{"key":"ref53","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/0262-8856(90)90059-E","article-title":"Comparative study of Hough transform methods for circle finding","volume":"8","author":"Yuen","year":"1990 Feb","journal-title":"Image Vis Comput"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s11263-006-7899-4","article-title":"Efficient belief propagation for early vision","volume":"70","author":"Felzenszwalb","year":"2006 May","journal-title":"Int J Comput Vis"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1007\/978-3-319-27863-6_38","author":"Ushizima","year":"2015","journal-title":"Advances in visual computing"},{"key":"ref56","unstructured":"Fiji: Fiji is just imageJ. [cited 2024 Feb 24]. Available from: https:\/\/fiji.sc\/Fiji."},{"key":"ref57","unstructured":"Fiji-plugins: Analysis tools. [cited 2024 Feb 12]. Available from: https:\/\/imagej.net\/ij\/docs\/menus\/analyze.html."},{"key":"ref58","first-page":"100","article-title":"A k-means clustering algorithm","volume":"28","author":"Ja","year":"1979 Mar","journal-title":"J Roy Stat Soc C Appl Stat"},{"key":"ref59","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-56927-2","author":"Kohonen","year":"2001","journal-title":"Self-organizing maps"},{"key":"ref60","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987 Nov","journal-title":"J Comput Appl Math"},{"key":"ref61","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.ins.2015.06.039","article-title":"Recovering the number of clusters in data sets with noise features using feature rescaling factors","volume":"324","author":"De Amorim","year":"2015 Dec","journal-title":"Inf Sci"},{"key":"ref62","first-page":"30","article-title":"Pill identification with imprints using a neural network","volume":"1","author":"Chupawa","year":"2015","journal-title":"Int J Eng Technol"},{"key":"ref63","series-title":"2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)","first-page":"30","article-title":"CoforDes: an invariant feature extractor for the drug pill identification","author":"Vieira Neto","year":"2018"},{"key":"ref64","doi-asserted-by":"crossref","first-page":"42","DOI":"10.71330\/thenucleus.2019.556","article-title":"An efficient scheme for automatic pill recognition using neural networks","volume":"56","author":"Chughtai","year":"2019","journal-title":"The Nucleus"},{"key":"ref65","series-title":"2011 18th IEEE International Conference on Image Processing","first-page":"2609","article-title":"Robust text detection in natural images with edge-enhanced maximally stable extremal regions","author":"Chen","year":"2011"},{"key":"ref66","unstructured":"National Library of Medicine, National Institutes of Health, United States. [cited 2024 Mar 23]. Available from: https:\/\/datadiscovery.nlm.nih.gov\/Drugs-and-Chemicals\/Pillbox-retired-January-28-2021-\/crzr-uvwg\/ab out_data."},{"key":"ref67","doi-asserted-by":"crossref","first-page":"1366","DOI":"10.1049\/iet-ipr.2019.0993","article-title":"Tablet identification using support vector machine based text recognition and error correction by enhanced n-grams algorithm","volume":"14","author":"Dhivya","year":"2020 Apr","journal-title":"IET Image Process"},{"key":"ref68","doi-asserted-by":"crossref","first-page":"148","DOI":"10.35940\/ijeat.B3119.129219","article-title":"Enhancing the tablet images using noise reduction algorithms by analyzing different color models","volume":"9","author":"Dhivya","year":"2019 Dec","journal-title":"Int J Eng Adv Technol"},{"key":"ref69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v052.i06","article-title":"The textcat package for n-gram based text categorization in R","volume":"52","author":"Hornik","year":"2013","journal-title":"J Statist Softw"},{"key":"ref70","series-title":"Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval","first-page":"161","article-title":"N-gram-based text categorization","author":"Cavnar","year":"1994"},{"key":"ref71","series-title":"2011 International Conference on Document Analysis and Recognition","first-page":"538","article-title":"Limits on the application of frequency-based language models to OCR","author":"Smith","year":"2011"},{"key":"ref72","series-title":"Proceedings of the Second Workshop on Recent Advances in Slavonic Natural Language Processing (RASLAN 2008)","first-page":"6","article-title":"A lexicographer-friendly association score","author":"Rychly","year":"2008"},{"key":"ref73","unstructured":"Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. arXiv:14091556. 2014."},{"key":"ref74","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.jbi.2017.09.005","article-title":"Development of fine-grained pill identification algorithm using deep convolutional network","volume":"74","author":"Wong","year":"2017 Oct","journal-title":"J Biomed Inform"},{"key":"ref75","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3166","article-title":"Saliency detection via graph-based manifold ranking","author":"Yang","year":"2013"},{"key":"ref76","first-page":"169","article-title":"Ranking on data manifolds","volume":"16","author":"Zhou","year":"2003","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref77","doi-asserted-by":"crossref","first-page":"918","DOI":"10.1109\/TPAMI.2015.2469286","article-title":"Learning deep representation for face alignment with auxiliary attributes","volume":"38","author":"Zhang","year":"2015 May","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref78","series-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"248","article-title":"ImageNet: a large-scale hierarchical image database","author":"Deng","year":"2009"},{"key":"ref79","series-title":"2018 International Conference on Orange Technologies (ICOT)","first-page":"1","article-title":"Automatic drug pills detection based on convolution neural network","author":"Ou","year":"2018"},{"key":"ref80","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"2117","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2017"},{"key":"ref81","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"ref82","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1251","article-title":"Xception: deep learning with depthwise separable convolutions","author":"Chollet","year":"2017"},{"key":"ref83","series-title":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","first-page":"207","article-title":"A deep learning based wearable medicines recognition system for visually impaired people","author":"Chang","year":"2019"},{"key":"ref84","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017 Jun","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref85","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2818","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2016"},{"key":"ref86","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1038\/s41746-019-0086-0","article-title":"Fast and accurate medication identification","volume":"2","author":"Larios Delgado","year":"2019 Feb","journal-title":"npj Digital Med"},{"key":"ref87","first-page":"234","author":"Ronneberger","year":"2015","journal-title":"Medical image computing and computer-assisted intervention\u2013MICCAI 2015"},{"key":"ref88","series-title":"2019 8th Brazilian Conference on Intelligent Systems (BRACIS)","first-page":"556","article-title":"Pill image classification using machine learning","author":"Cordeiro","year":"2019"},{"key":"ref89","series-title":"2019 International Seminar on Intelligent Technology and Its Applications (ISITIA)","first-page":"376","article-title":"Preliminary study of multi convolution neural network-based model to identify pills image using classification rules","author":"Swastika","year":"2019"},{"key":"ref90","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"LeCun","year":"1998","journal-title":"Proc IEEE"},{"key":"ref91","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","first-page":"3971","article-title":"ePillID Dataset: a low-shot fine-grained benchmark for pill identification","author":"Usuyama","year":"2020"},{"key":"ref92","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4700","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017"},{"key":"ref93","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"Imagenet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015 Apr","journal-title":"Int J Comput Vis"},{"key":"ref94","doi-asserted-by":"crossref","first-page":"17013","DOI":"10.1109\/ACCESS.2020.2967400","article-title":"MedGlasses: a wearable smart-glasses-based drug pill recognition system using deep learning for visually impaired chronic patients","volume":"8","author":"Chang","year":"2020","journal-title":"IEEE Access"},{"key":"ref95","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","author":"Liu","year":"2016","journal-title":"Computer vision\u2013ECCV 2016"},{"key":"ref96","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1049\/iet-cvi.2019.0171","article-title":"Automatic drug pills detection based on enhanced feature pyramid network and convolution neural networks","volume":"14","author":"Ou","year":"2020 Jan","journal-title":"IET Comput Vis"},{"key":"ref97","series-title":"Proceedings of the AAAI Conference On Artificial Intelligence","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"31","author":"Szegedy","year":"2017"},{"key":"ref98","unstructured":"Marami B, Royaee AR. Automatic detection and classification of waste consumer medications for proper management and disposal. arXiv: 200713903. 2020."},{"key":"ref99","first-page":"801","author":"Chen","year":"2018 Sep","journal-title":"Computer vision\u2013ECCV 2018"},{"key":"ref100","unstructured":"Kingma DP, Ba J. Adam: a method for stochastic optimization. arXiv:14126980. 2014."},{"key":"ref101","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"9786","article-title":"Few-shot pill recognition","author":"Ling","year":"2020"},{"key":"ref102","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/978-3-319-46484-8_29","author":"Newell","year":"2016","journal-title":"Computer vision\u2013ECCV 2016"},{"key":"ref103","unstructured":"Hinton G, Vinyals O, Dean J. Distilling the knowledge in a neural network. arXiv:150302531. 2015."},{"key":"ref104","series-title":"2017 IEEE International Conference on Computer Vision (ICCV)","first-page":"2223","article-title":"Deep textspotter: an end-to-end trainable scene text localization and recognition framework","author":"Busta","year":"2017"},{"key":"ref105","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Finding task-relevant features for few-shot learning by category traversal","author":"Li","year":"2019"},{"key":"ref106","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"815","article-title":"Facenet: a unified embedding for face recognition and clustering","author":"Schroff","year":"2015"},{"key":"ref107","first-page":"1907","article-title":"Development of smart pillbox using 3D printing technology and convolutional neural network image recognition","volume":"32","author":"Tsai","year":"2020 May","journal-title":"Sens Mater"},{"key":"ref108","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3390\/chemosensors10010004","article-title":"Pill detection model for medicine inspection based on deep learning","volume":"10","author":"Kwon","year":"2021 Dec","journal-title":"Chemosensors"},{"key":"ref109","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1109\/TPAMI.2018.2844175","article-title":"Mask R-CNN","volume":"42","author":"He","year":"2020 Feb","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref110","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1038\/s41746-021-00483-8","article-title":"Performance evaluation of a prescription medication image classification model: an observational cohort","volume":"4","author":"Lester","year":"2021 Jul","journal-title":"npj Digit Med"},{"key":"ref111","series-title":"NIPS 2017 Workshop on Autodiff","article-title":"Automatic differentiation in pytorch","author":"Paszke","year":"2017"},{"key":"ref112","unstructured":"National Library of Medicine, PillBox API. [cited 2024 Apr 14]. Available from: https:\/\/lhncbc.nlm.nih.gov\/RxNav\/APIs\/index.html."},{"key":"ref113","unstructured":"Evrim Ozmermer T, Roze V, Hilcuks S, Nescerecka A. VeriMedi: pill identification using proxy-based deep metric learning and exact solution. arXiv: 210411231. 2021."},{"key":"ref114","series-title":"2017 IEEE International Conference on Computer Vision (ICCV)","first-page":"2980","article-title":"Mask R-CNN","author":"He","year":"2017"},{"key":"ref115","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3238","article-title":"Proxy anchor loss for deep metric learning","author":"Kim","year":"2020"},{"key":"ref116","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1186\/s12911-021-01691-8","article-title":"Comparison of RetinaNet, SSD, and YOLO v3 for real-time pill identification","volume":"21","author":"Tan","year":"2021 Nov","journal-title":"BMC Med Inform Decis Mak"},{"key":"ref117","article-title":"Comparison of YOLO v3, Faster R-CNN, and SSD for real-time pill identification","author":"Tan","year":"2021 Jul","journal-title":"Research Square"},{"key":"ref118","first-page":"341","author":"Nguyen","year":"2022","journal-title":"Computer vision\u2013ACCV 2022"},{"key":"ref119","series-title":"2022 6th International Conference on Information Technology (InCIT)","first-page":"309","article-title":"Shape recognition using unconstrained pill images based on deep convolution network","author":"Suksawatchon","year":"2022"},{"key":"ref120","unstructured":"Redmon J, Farhadi A. YOLOv3: an incremental improvement. arXiv: 180402767. 2018."},{"key":"ref121","series-title":"2022 IEEE International Conference on Consumer Electronics\u2013Taiwan","first-page":"553","article-title":"Round pill shape recognition system based on AY deep learning model","author":"Wu","year":"2022"},{"key":"ref122","doi-asserted-by":"crossref","first-page":"660","DOI":"10.3390\/rs13040660","article-title":"Improved YOLOv3 based on attention mechanism for fast and accurate ship detection in optical remote sensing images","volume":"13","author":"Chen","year":"2021 Feb","journal-title":"Remote Sens"},{"key":"ref123","doi-asserted-by":"crossref","first-page":"8275","DOI":"10.1007\/s00521-021-05978-9","article-title":"Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3","volume":"34","author":"Hurtik","year":"2022 Feb","journal-title":"Neural Comput Appl"},{"key":"ref124","series-title":"Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022)","first-page":"43","article-title":"Drugtionary: drug pill image detection and recognition based on deep learning","author":"Pornbunruang","year":"2022"},{"key":"ref125","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/TPAMI.2018.2858826","article-title":"Focal loss for dense object detection","volume":"42","author":"Lin","year":"2020 Feb","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref126","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"6569","article-title":"CenterNet: keypoint triplets for object detection","author":"Duan","year":"2019"},{"key":"ref127","first-page":"354","article-title":"Image-based contextual pill recognition with medical knowledge graph assistance","author":"Nguyen","year":"2022","journal-title":"Recent challenges in intelligent information and database systems"},{"key":"ref128","series-title":"PRICAI 2022: Trends in Artificial Intelligence: 9th Pacific Rim International Conference on Artificial Intelligence","first-page":"261","article-title":"A novel approach for pill-prescription matching with GNN assistance and contrastive learning","author":"Nguyen","year":"2022"},{"key":"ref129","first-page":"242","article-title":"Detection and identification pills","volume":"9","author":"Sakshi","year":"2023","journal-title":"Int J Adv Res Innovat Ideas Edu"},{"key":"ref130","unstructured":"Zhang J, Liu L, Gao K, Hu D. Few-shot class-incremental pill recognition. arXiv: 230411959. 2023."},{"key":"ref131","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"12183","article-title":"Few-shot class-incremental learning","author":"Tao","year":"2020"},{"key":"ref132","doi-asserted-by":"crossref","first-page":"e0291865","DOI":"10.1371\/journal.pone.0291865","article-title":"High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion","volume":"18","author":"Nguyen","year":"2023 Sep","journal-title":"PLoS One"},{"key":"ref133","doi-asserted-by":"crossref","first-page":"102844","DOI":"10.1016\/j.artmed.2024.102844","article-title":"Leveraging code-free deep learning for pill recognition in clinical settings: a multicenter, real-world study of performance across multiple platforms","volume":"150","author":"Ashraf","year":"2024 Apr","journal-title":"Artif Intell Med"},{"key":"ref134","unstructured":"TensorFlow Lite Model Analyzer. TensorFlow. [cited 2024 May 19]. Available from: https:\/\/ai.google.dev\/edge\/litert."},{"key":"ref135","series-title":"2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)","first-page":"552","article-title":"Real-time pill identification for the visually impaired using deep learning","author":"Dang","year":"2024"},{"key":"ref136","doi-asserted-by":"crossref","first-page":"116637","DOI":"10.1016\/j.eswa.2022.116637","article-title":"A multi-view kernel clustering framework for categorical sequences","volume":"197","author":"Xu","year":"2022 Jul","journal-title":"Expert Syst Appl"},{"key":"ref137","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1177\/09544097231156312","article-title":"Artificial intelligence-aided intelligent obstacle and trespasser detection based on locomotive-mounted forward-facing camera data","volume":"237","author":"Qin","year":"2023 Feb","journal-title":"Proc Institut Mech Eng Part F: J Rail Rapid Transit"},{"key":"ref138","unstructured":"Li S, Tajbakhsh N. SciGraphQA: a large-scale synthetic multi-turn question-answering dataset for scientific graphs. arXiv:230803349. 2023."},{"key":"ref139","unstructured":"Zhang J, Liu L, Gao K, Hu D. A forward and backward compatible framework for few-shot class-incremental pill recognition. arXiv:230411959. 2023."},{"key":"ref140","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"9046","article-title":"Forward compatible few-shot class-incremental learning","author":"Zhou","year":"2022"},{"key":"ref141","series-title":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","first-page":"1","article-title":"The national library of medicine pill image recognition challenge: an initial report","author":"Yaniv","year":"2016"},{"key":"ref142","series-title":"Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services","first-page":"56","article-title":"MobileDeepPill: a small-footprint mobile deep learning system for recognizing unconstrained pill images","author":"Zeng","year":"2017"},{"key":"ref143","series-title":"2017 IEEE Third International Conference on Multimedia Big Data (BigMM)","first-page":"346","article-title":"Pill recognition using minimal labeled data","author":"Wang","year":"2017"},{"key":"ref144","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2015"},{"key":"ref145","series-title":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","first-page":"1362","article-title":"MobilePill: accurate pill image classification via deep learning on mobile","author":"Mehmood","year":"2019"},{"key":"ref146","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1145\/1015706.1015720","article-title":"\u201cGrabCut\u201d interactive foreground extraction using iterated graph cuts","volume":"23","author":"Rother","year":"2004 Aug","journal-title":"ACM Transact Graph"},{"key":"ref147","first-page":"350","author":"Jiang","year":"2019","journal-title":"Advances in computer vision"},{"key":"ref148","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/B978-0-12-336156-1.50061-6","author":"Zuiderveld","year":"1994","journal-title":"Graphics gems IV"},{"key":"ref149","unstructured":"Eigen D, Rolfe J, Fergus R, LeCun Y. Understanding deep architectures using a recursive convolutional network. arXiv:13121847. 2013."},{"key":"ref150","series-title":"2022 26th International Computer Science and Engineering Conference (ICSEC)","first-page":"117","article-title":"ClinicYA: an application for pill identification using deep learning and K-means clustering","author":"Srikamdee","year":"2022"},{"key":"ref151","doi-asserted-by":"crossref","first-page":"5050","DOI":"10.3390\/app13085050","article-title":"CNN-based pill image recognition for retrieval systems","volume":"13","author":"Al-Hussaeni","year":"2023 Apr","journal-title":"Appl Sci"},{"key":"ref152","first-page":"986","author":"Guo","year":"2003","journal-title":"On the move to meaningful internet systems 2003: CoopIS, DOA, and ODBASE"},{"key":"ref153","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","article-title":"An introduction to kernel and nearest-neighbor nonparametric regression","volume":"46","author":"Altman","year":"1992 Aug","journal-title":"Am Stat"},{"key":"ref154","series-title":"2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","first-page":"942","article-title":"Multi-stream pill recognition with attention","author":"R\u00e1dli","year":"2023"},{"key":"ref155","series-title":"Proceedings of the International Workshop on Similarity-Based Pattern Recognition","first-page":"84","article-title":"Deep metric learning using triplet network","author":"Hoffer","year":"2015"},{"key":"ref156","series-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019","first-page":"6105","article-title":"EfficientNet: rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019"},{"key":"ref157","series-title":"Proceedings of 12th International Conference on Pattern Recognition","first-page":"582","article-title":"Performance evaluation of texture measures with classification based on Kullback discrimination of distributions","volume":"1","author":"Ojala","year":"1994"},{"key":"ref158","series-title":"Advances in Neural Information Processing Systems 30 (NIPS 2017)","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref159","doi-asserted-by":"crossref","first-page":"107404","DOI":"10.1016\/j.patcog.2020.107404","article-title":"U2-Net: going deeper with nested U-structure for salient object detection","volume":"106","author":"Qin","year":"2020 Oct","journal-title":"Pattern Recognit"},{"key":"ref160","unstructured":"Li C, Liu W, Guo R, Yin X, Jiang K, Du Y, et al. PP-OCRv3: more attempts for the improvement of ultra lightweight OCR system. arXiv:220603001. 2022."},{"key":"ref161","first-page":"135","author":"Yue","year":"2020","journal-title":"Computer vision\u2013ECCV 2020"},{"key":"ref162","first-page":"28","article-title":"Superpixel segmentation: a benchmark","volume":"56","author":"Wang","year":"2017 Aug","journal-title":"Signal Process: Image Commun"},{"key":"ref163","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"651","article-title":"Manifold SLIC: a fast method to compute content-sensitive superpixels","author":"Liu","year":"2016"},{"key":"ref164","series-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1356","article-title":"Superpixel segmentation using linear spectral clustering","author":"Li","year":"2015"},{"key":"ref165","series-title":"CVPR 2011","first-page":"2097","article-title":"Entropy rate superpixel segmentation","author":"Liu","year":"2011"},{"key":"ref166","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1007\/s11263-014-0744-2","article-title":"SEEDS: superpixels extracted via energy-driven sampling","volume":"111","author":"Van den Bergh","year":"2015 Jul","journal-title":"Int J Comput Vis"},{"key":"ref167","series-title":"2011 International Conference on Computer Vision","first-page":"1387","article-title":"Superpixels via pseudo-boolean optimization","author":"Zhang","year":"2011"},{"key":"ref168","series-title":"Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th International Conference, EMMCVPR 2013","first-page":"280","article-title":"Contour-relaxed superpixels","author":"Conrad","year":"2013"},{"key":"ref169","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1109\/TIP.2014.2302892","article-title":"Lazy random walks for superpixel segmentation","volume":"23","author":"Shen","year":"2014 Apr","journal-title":"IEEE Trans Image Process"},{"key":"ref170","series-title":"2012 IEEE International Conference on Multimedia and Expo","first-page":"765","article-title":"Topology preserved regular superpixel","author":"Tang","year":"2012"},{"key":"ref171","series-title":"Computer vision\u2013ECCV 2010","first-page":"211","article-title":"Superpixels and supervoxels in an energy optimization framework","author":"Veksler","year":"2010"},{"key":"ref172","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1109\/TPAMI.2012.47","article-title":"VCells: simple and efficient superpixels using edge-weighted centroidal Voronoi tessellations","volume":"34","author":"Wang","year":"2012 Jun","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref173","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","article-title":"Normalized cuts and image segmentation","volume":"22","author":"Shi","year":"2000","journal-title":"IEEE Transact Pattern Anal Mach Intell"},{"key":"ref174","series-title":"2008 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Superpixel lattices","author":"Moore","year":"2008"},{"key":"ref175","doi-asserted-by":"crossref","first-page":"2290","DOI":"10.1109\/TPAMI.2009.96","article-title":"TurboPixels: fast superpixels using geometric flows","volume":"31","author":"Levinshtein","year":"2009 Dec","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref176","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/34.87344","article-title":"Watersheds in digital spaces: an efficient algorithm based on immersion simulations","volume":"13","author":"Vincent","year":"1991 Jun","journal-title":"IEEE Transact Pattern Anal Mach Intell"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-3\/TSP_CMC_60793\/TSP_CMC_60793.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:30:55Z","timestamp":1763101855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n3\/59929"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":176,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.060793","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}