{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:31:04Z","timestamp":1763343064245,"version":"3.45.0"},"reference-count":32,"publisher":"Tech Science Press","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.063355","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T06:47:21Z","timestamp":1744181241000},"page":"4193-4213","source":"Crossref","is-referenced-by-count":0,"title":["BLFM-Net: An Efficient Regional Feature Matching Method for Bronchoscopic Surgery Based on Deep Learning Object Detection"],"prefix":"10.32604","volume":"83","author":[{"given":"He","family":"Su","sequence":"first","affiliation":[]},{"given":"Jianwei","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Kang","family":"Kong","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1378\/chest.130.2.559","article-title":"A virtual bronchoscopy navigation system for pulmonary peripheral lesions","volume":"130","author":"Asano","year":"2006","journal-title":"Chest"},{"key":"ref2","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","journal-title":"Int J Comput Vis"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"Bay","year":"2008","journal-title":"Comput Vis Image Understand"},{"key":"ref4","series-title":"2011 International Conference on Computer Vision","first-page":"2564","article-title":"ORB: an efficient alternative to SIFT or SURF","author":"Rublee","year":"2011 Nov 6\u201313"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1016\/j.imavis.2004.02.006","article-title":"Robust wide-baseline stereo from maximally stable extremal regions","volume":"22","author":"Matas","year":"2004","journal-title":"Image Vis Comput"},{"journal-title":"Computer vision\u2014ECCV 2012","year":"2012","author":"Alcantarilla","key":"ref6"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"6997","DOI":"10.3390\/s20236997","article-title":"A bronchoscope localization method using an augmented reality co-display of real bronchoscopy images with a virtual 3D bronchial tree model","volume":"20","author":"Chien","year":"2020","journal-title":"Sensors"},{"key":"ref8","series-title":"IJCAI\u201981: 7th International Joint Conference on Artificial Intelligence","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","author":"Lucas","year":"1981 Aug 24\u201328"},{"key":"ref9","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops","article-title":"SuperPoint: self-supervised interest point detection and description","author":"DeTone","year":"2018 Jun 18\u201323"},{"key":"ref10","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"4937","article-title":"SuperGlue: learning feature matching with graph neural networks","author":"Sarlin","year":"2020 Jun 13\u201319"},{"key":"ref11","first-page":"1","article-title":"A robust pose optimization scheme with spatial geometry awareness for hybrid bronchoscopic navigation","volume":"73","author":"Liu","year":"2024","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1049\/htl2.12059","article-title":"Towards navigation in endoscopic kidney surgery based on preoperative imaging","volume":"11","author":"Acar","year":"2024","journal-title":"Healthc Technol Lett"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1080\/21681163.2022.2152728","article-title":"Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation","volume":"11","author":"Wang","year":"2022","journal-title":"Comput Methods Biomech Biomed Eng Imaging Vis"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1109\/LRA.2019.2893419","article-title":"Context-aware depth and pose estimation for bronchoscopic navigation","volume":"4","author":"Shen","year":"2019","journal-title":"IEEE Robot Autom Lett"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1007\/s11548-020-02241-9","article-title":"A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation","volume":"15","author":"Wang","year":"2020","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"2707","DOI":"10.1364\/BOE.457475","article-title":"Joint estimation of depth and motion from a monocular endoscopy image sequence using a multi-loss rebalancing network","volume":"13","author":"Liu","year":"2022","journal-title":"Biomed Opt Express"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"2247","DOI":"10.1364\/BOE.450259","article-title":"Feature matching for texture-less endoscopy images via superpixel vector field consistency","volume":"13","author":"Liu","year":"2022","journal-title":"Biomed Opt Express"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"105370","DOI":"10.1016\/j.cmpb.2020.105370","article-title":"Endoscopic image feature matching via motion consensus and global bilateral regression","volume":"190","author":"Chu","year":"2020","journal-title":"Comput Methods Programs Biomed"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"118696","DOI":"10.1016\/j.eswa.2022.118696","article-title":"Self-supervised endoscopic image key-points matching","volume":"213","author":"Farhat","year":"2023","journal-title":"Expert Syst Appl"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1109\/TBME.2024.3462502","article-title":"S2P-matching: self-supervised patch-based matching using transformer for capsule endoscopic images stitching","volume":"72","author":"Lu","year":"2025","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"6913043","DOI":"10.1155\/2022\/6913043","article-title":"Anomaly detection in heart disease using a density-based unsupervised approach","volume":"2022","author":"Nanehkaran","year":"2022","journal-title":"Wirel Commun Mob Comput"},{"key":"ref22","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"FFA-Net: feature fusion attention network for single image dehazing","author":"Qin","year":"2020 Feb 7\u201312"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1109\/TMI.2017.2701861","article-title":"Vision-based surgical field defogging","volume":"36","author":"Luo","year":"2017","journal-title":"IEEE Trans Med Imaging"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TIT.1962.1057692","article-title":"Visual pattern recognition by moment invariants","volume":"8","author":"Hu","year":"1962","journal-title":"IRE Trans Inf Theory"},{"key":"ref26","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8918","article-title":"LoFTR: detector-free local feature matching with transformers","author":"Sun","year":"2021 Jun 22\u201325"},{"key":"ref27","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"4275","article-title":"XoFTR: cross-modal feature matching transformer","author":"Tuzcuo\u011flu","year":"2024 Jun 17\u201318"},{"key":"ref28","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"17581","article-title":"LightGlue: local feature matching at light speed","author":"Lindenberger","year":"2023 Oct 1\u20136"},{"key":"ref29","series-title":"CVPR 2019-IEEE Conference on Computer Vision and Pattern Recognition","first-page":"8092","article-title":"D2-Net: a trainable CNN for joint detection and description of local features","author":"Dusmanu","year":"2019 Jun 15\u201320"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1145\/358669.358692","article-title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography","volume":"24","author":"Fischler","year":"1981","journal-title":"Commun ACM"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1109\/TIP.2014.2307478","article-title":"Robust point matching via vector field consensus","volume":"23","author":"Ma","year":"2014","journal-title":"IEEE Trans Image Process"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/TPAMI.2017.2652468","article-title":"CODE: coherence based decision boundaries for feature correspondence","volume":"40","author":"Lin","year":"2018","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-83-3\/TSP_CMC_63355\/TSP_CMC_63355.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:29:07Z","timestamp":1763342947000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v83n3\/61043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":32,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.063355","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}