{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T21:17:05Z","timestamp":1793481425248,"version":"4.5.0"},"reference-count":47,"publisher":"Association for Research in Vision and Ophthalmology (ARVO)","issue":"1","license":[{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans. Vis. Sci. Tech."],"published-print":{"date-parts":[[2023,1,30]]},"DOI":"10.1167\/tvst.12.1.29","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T11:44:21Z","timestamp":1675079061000},"page":"29","source":"Crossref","is-referenced-by-count":32,"title":["Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images"],"prefix":"10.1167","volume":"12","author":[{"given":"Xiaoming","family":"Chen","sequence":"first","affiliation":[{"name":"College of Mathematics and Computer Science, Fuzhou University, Fujian province, China"},{"name":"The Centre for Big Data Research in Burns and Trauma, College of Mathematics and Computer Science, Fuzhou University, Fujian province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Xue","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Zhong","sequence":"additional","affiliation":[{"name":"The Centre for Big Data Research in Burns and Trauma, College of Mathematics and Computer Science, Fuzhou University, Fujian province, China"},{"name":"College of Biological Science and Engineering, Fuzhou University, Fujian province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiying","family":"Rao","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Luo","sequence":"additional","affiliation":[{"name":"The Centre for Big Data Research in Burns and Trauma, College of Mathematics and Computer Science, Fuzhou University, Fujian province, China"},{"name":"College of Biological Science and Engineering, Fuzhou University, Fujian province, China"},{"name":"MetaNovas Biotech Inc., Foster City, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuquan","family":"Weng","sequence":"additional","affiliation":[{"name":"The Centre for Big Data Research in Burns and Trauma, College of Mathematics and Computer Science, Fuzhou University, Fujian province, China"},{"name":"College of Biological Science and Engineering, Fuzhou University, Fujian province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"27","reference":[{"issue":"3","key":"bib1","first-page":"1","article-title":"World report on vision","volume":"8","author":"Bashshur","year":"2020","journal-title":"Int J Eye Banking"},{"issue":"6","key":"bib2","doi-asserted-by":"publisher","first-page":"e339","DOI":"10.1016\/S2214-109X(13)70113-X","article-title":"Causes of vision loss worldwide, 1990\u20132010: a systematic analysis","volume":"1","author":"Bourne","year":"2013","journal-title":"Lancet Global Health"},{"issue":"5035","key":"bib3","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1126\/science.1957169","article-title":"Optical coherence tomography","volume":"254","author":"Huang","year":"1991","journal-title":"Science"},{"issue":"8","key":"bib4","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1016\/S0161-6420(96)30512-5","article-title":"Optical coherence tomography of age-related macular degeneration and choroidal neovascularization","volume":"103","author":"Hee","year":"1996","journal-title":"Ophthalmology"},{"issue":"2","key":"bib5","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/S0161-6420(95)31032-9","article-title":"Imaging of macular diseases with optical coherence tomography","volume":"102","author":"Puliafito","year":"1995","journal-title":"Ophthalmology"},{"issue":"11","key":"bib6","doi-asserted-by":"publisher","first-page":"2054","DOI":"10.1016\/j.ophtha.2006.05.046","article-title":"High-definition and 3-dimensional imaging of macular pathologies with high-speed ultrahigh-resolution optical coherence tomography","volume":"113","author":"Srinivasan","year":"2006","journal-title":"Ophthalmology"},{"issue":"3","key":"bib7","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1364\/OPEX.12.000367","article-title":"In vivo high-resolution video-rate spectral-domain optical coherence tomography of the human retina and optic nerve","volume":"12","author":"Nassif","year":"2004","journal-title":"Optics Express"},{"issue":"7553","key":"bib8","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"bib9","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.isprsjprs.2020.12.010","article-title":"Review on convolutional neural networks (CNN) in vegetation remote sensing","volume":"173","author":"Kattenborn","year":"2021","journal-title":"ISPRS J Photogram Remote Sensing"},{"issue":"10","key":"bib11","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1038\/s41591-019-0583-3","article-title":"Deep learning-based classification of mesothelioma improves prediction of patient outcome","volume":"25","author":"Courtiol","year":"2019","journal-title":"Nat Med"},{"issue":"1\u20133","key":"bib12","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s11265-019-01501-5","article-title":"Coronary artery fibrous plaque detection based on multi-scale convolutional neural networks","volume":"95","author":"Liu","year":"2020","journal-title":"J Signal Processing Syst"},{"key":"bib13","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1016\/j.oret.2016.12.009","article-title":"Deep learning is effective for classifying normal versus age-related macular degeneration OCT images","volume":"1","author":"Lee","year":"2017","journal-title":"Ophthalmol Retina"},{"issue":"1","key":"bib14","doi-asserted-by":"publisher","first-page":"232","DOI":"10.7150\/thno.28447","article-title":"Artificial intelligence-based decision-making for age-related macular degeneration","volume":"9","author":"Hwang","year":"2019","journal-title":"Theranostics"},{"issue":"1","key":"bib15","doi-asserted-by":"publisher","first-page":"5619","DOI":"10.1038\/s41598-020-62329-9","article-title":"Automated quantification of photoreceptor alteration in macular disease using optical coherence tomography and deep learning","volume":"10","author":"Orlando","year":"2020","journal-title":"Sci Rep"},{"issue":"8","key":"bib16","doi-asserted-by":"publisher","first-page":"1959","DOI":"10.1109\/TMI.42","article-title":"Attention to lesion: lesion-aware convolutional neural network for retinal optical coherence tomography image classification","volume":"38","author":"Fang","year":"2019","journal-title":"IEEE Trans Med Imaging"},{"key":"bib18","article-title":"A Survey on deep transfer learning","author":"Tan","year":"October 4\u20137, 2018","journal-title":"International Conference on Artificial Neural Networks"},{"issue":"10","key":"bib19","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1016\/S0893-6080(99)00073-8","article-title":"Ensemble learning via negative correlation","volume":"12","author":"Liu","year":"1999","journal-title":"Neural Networks"},{"issue":"4","key":"bib20","doi-asserted-by":"publisher","first-page":"e1249","DOI":"10.1002\/widm.2018.8.issue-4","article-title":"Ensemble learning: a survey","volume":"8","author":"Sagi","year":"2018","journal-title":"WIREs Data Mining and Knowledge Discovery"},{"issue":"2","key":"bib22","first-page":"148","article-title":"Vitreomacular traction syndrome","volume":"7","author":"Bott\u00f3s","year":"2012","journal-title":"J Ophthalmic Vis Res"},{"issue":"3","key":"bib23","first-page":"353","article-title":"Age-related macular degeneration (AMD): pathogenesis and therapy","volume":"58","author":"Nowak","year":"2006","journal-title":"Pharmacol Rep"},{"issue":"6","key":"bib24","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","article-title":"Imagenet classification with deep convolutional neural networks[J]","volume":"60","author":"Krizhevsky","year":"2017","journal-title":"Communications of the ACM"},{"key":"bib26","first-page":"2818","article-title":"Rethinking the inception architecture for computer vision[C]","author":"Szegedy","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"bib28","article-title":"Very deep convolutional networks for large-scale image recognition[J]","author":"Simonyan","year":"2014"},{"key":"bib29","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.neucom.2016.10.049","article-title":"Learning pooling for convolutional neural network","volume":"224","author":"Sun","year":"2017","journal-title":"Neurocomputing"},{"issue":"1","key":"bib33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4102\/phcfm.v6i1.623","article-title":"Risk factors for visual impairment and blindness amongst black adult diabetics receiving treatment at Government healthcare facilities in Mopani District, Limpopo province, South Africa.","volume":"6","author":"Mabaso","year":"2014","journal-title":"African Journal of Primary Health Care and Family Medicine"},{"issue":"1","key":"bib34","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1080\/09286586.2019.1678654","article-title":"Inequity in access: cataract surgery throughput of Chinese ophthalmologists from the China national eye care capacity and resource survey","volume":"27","author":"An","year":"2020","journal-title":"Ophthalmic Epidemiology"},{"issue":"6","key":"bib35","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1167\/tvst.7.6.41","article-title":"Deep learning-based automated classification of multi-categorical abnormalities from optical coherence tomography images","volume":"7","author":"Lu","year":"2018","journal-title":"Transl Vis Sci Technol"},{"issue":"5","key":"bib36","doi-asserted-by":"publisher","first-page":"e229960","DOI":"10.1001\/jamanetworkopen.2022.9960","article-title":"Artificial intelligence for screening of multiple retinal and optic nerve diseases","volume":"5","author":"Dong","year":"2022","journal-title":"JAMA Network Open"},{"issue":"2","key":"bib37","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1167\/tvst.9.2.61","article-title":"DeepRetina: layer segmentation of retina in OCT images using deep learning","volume":"9","author":"Li","year":"2020","journal-title":"Transl Vis Sci Technol"},{"issue":"9","key":"bib38","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1038\/nmeth.3968","article-title":"Model selection and overfitting","volume":"13","author":"Lever","year":"2016","journal-title":"Nat Methods"},{"key":"bib39","first-page":"1168","article-title":"An overview of overfitting and its solutions","volume":"2","author":"Ying","year":"2019","journal-title":"J Physics Conference Series"},{"key":"bib40","doi-asserted-by":"publisher","first-page":"e6977","DOI":"10.7717\/peerj.6977","article-title":"Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images","volume":"7","author":"Rajaraman","year":"2019","journal-title":"PeerJ"},{"issue":"2","key":"bib42","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1167\/tvst.9.2.35","article-title":"Transfer learning for automated OCTA detection of diabetic retinopathy","volume":"9","author":"Le","year":"2020","journal-title":"Transl Vis Sci Technol"},{"key":"bib43","first-page":"105822","article-title":"OctNET: a lightweight CNN for retinal disease classification from optical coherence tomography images","volume":"200:","author":"Sunija","year":"2021","journal-title":"Computer Methods and Programs in Biomedicine"},{"issue":"1","key":"bib44","doi-asserted-by":"publisher","first-page":"4828","DOI":"10.1038\/s41467-021-25138-w","article-title":"Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks","volume":"12","author":"Cen","year":"2021","journal-title":"Nat Commun"},{"issue":"2","key":"bib45","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3390\/electronics10020163","article-title":"Development of decision support software for deep learning-based automated retinal disease screening using relatively limited fundus photograph data","volume":"10","author":"Lee","year":"2021","journal-title":"Electronics"},{"issue":"2","key":"bib46","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1167\/tvst.9.2.46","article-title":"An intelligent optical coherence tomography-based system for pathological retinal cases identification and urgent referrals","volume":"9","author":"Wang","year":"2020","journal-title":"Transl Vis Sci Technol"},{"issue":"9","key":"bib47","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1038\/s41591-018-0107-6","article-title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","volume":"24","author":"De Fauw","year":"2018","journal-title":"Nat Med"},{"key":"bib10","author":"Sohail","year":"2020"},{"key":"bib17","first-page":"2921","article-title":"Learning deep features for discriminative localization[C]","volume-title":"Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition","author":"Zhou","year":"2016"},{"key":"bib21","article-title":"Yolov3: An incremental improvement[J]","author":"Redmon","year":"2018"},{"key":"bib25","first-page":"4700","article-title":"Densely connected convolutional networks","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Huang","year":"2017"},{"key":"bib27","first-page":"770","article-title":"Deep residual learning for image recognition","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"He","year":"June 27\u201330, 2016"},{"key":"bib30","article-title":"Understanding dropout[J]","volume-title":"Advances in Neural Information Processing Systems","author":"Baldi","year":"2013"},{"key":"bib31","article-title":"Understanding batch normalization[J]","volume-title":"Advances in Neural Information Processing Systems","author":"Bjorck","year":"2018"},{"key":"bib32","first-page":"618","article-title":"Grad-cam: Visual explanations from deep networks via gradient-based localization[C]","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"Selvaraju","year":"2017"},{"key":"bib41","first-page":"298","article-title":"Reducing overfitting in diabetic retinopathy detection using transfer learning","volume-title":"2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)","author":"Barhate","year":"October 30\u201331, 2020"}],"container-title":["Translational Vision Science &amp; Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/tvst.arvojournals.org\/article.aspx?articleid=2785318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T11:44:38Z","timestamp":1675079078000},"score":1,"resource":{"primary":{"URL":"https:\/\/tvst.arvojournals.org\/article.aspx?articleid=2785318"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,30]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,3]]}},"URL":"https:\/\/doi.org\/10.1167\/tvst.12.1.29","relation":{"is-referenced-by":[{"id-type":"doi","id":"10.1186\/s12886-025-04579-7","asserted-by":"object"}]},"ISSN":["2164-2591"],"issn-type":[{"value":"2164-2591","type":"print"}],"subject":[],"published":{"date-parts":[[2023,1,30]]}}}