{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:24:26Z","timestamp":1787235866319,"version":"build-2736575974"},"reference-count":38,"publisher":"Association for Research in Vision and Ophthalmology (ARVO)","issue":"8","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"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":[[2021,7,23]]},"DOI":"10.1167\/tvst.10.8.21","type":"journal-article","created":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T13:49:38Z","timestamp":1627048178000},"page":"21","source":"Crossref","is-referenced-by-count":8,"title":["Deep Learning\u2013Based Retinal Nerve Fiber Layer Thickness Measurement of Murine Eyes"],"prefix":"10.1167","volume":"10","author":[{"given":"Rui","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yudong","family":"Tao","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karam A.","family":"Alawa","sequence":"additional","affiliation":[{"name":"Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei-Ling","family":"Shyu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard K.","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"},{"name":"Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"27","reference":[{"key":"bib1","doi-asserted-by":"publisher","first-page":"S133","DOI":"10.1016\/j.ophtha.2019.11.025","article-title":"Comparison of age-related macular degeneration treatments trials 2: introducing comparative effectiveness research","volume":"127","author":"Miller","year":"2020","journal-title":"Ophthalmology"},{"key":"bib2","doi-asserted-by":"publisher","first-page":"1860","DOI":"10.1016\/j.ophtha.2013.01.073","article-title":"Macular morphology and visual acuity in the comparison of age-related macular degeneration treatments trials","volume":"120","author":"Jaffe","year":"2013;","journal-title":"Ophthalmology"},{"key":"bib3","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1159\/000098498","article-title":"Optical coherence tomography findings in diabetic retinopathy","volume":"39","author":"Lang","year":"2007","journal-title":"Dev Ophthalmol"},{"key":"bib4","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/S0002-9394(02)02003-2","article-title":"Evaluation of the glaucomatous damage on retinal nerve fiber layer thickness measured by optical coherence tomography","volume":"135","author":"Kanamori","year":"2003","journal-title":"Am J Ophthalmol"},{"issue":"12","key":"bib5","doi-asserted-by":"publisher","first-page":"1864","DOI":"10.1016\/j.jcrs.2013.05.048","article-title":"Keratoconus diagnosis with optical coherence tomography-based pachymetric scoring system","volume":"39","author":"Qin","year":"2013","journal-title":"J Cataract Refract Surg"},{"key":"bib6","article-title":"To study and determine the role of anterior segment optical coherence tomography and ultrasound biomicroscopy in corneal and conjunctival tumors [published online ahead of print December 6,2016]","author":"Janssens","journal-title":"J Ophthalmol"},{"issue":"1","key":"bib7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s40662-018-0107-0","article-title":"Optical coherence tomography for ocular surface and corneal diseases: a review","volume":"5","author":"Venkateswaran","year":"2018","journal-title":"Eye Vis"},{"key":"bib8","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1097\/ICU.0b013e328343c1a3","article-title":"Neuro-ophthalmic disease and optical coherence tomography: glaucoma look-alikes","volume":"22","author":"Pasol","year":"2011","journal-title":"Curr Opin Ophthalmol"},{"key":"bib14","first-page":"120","article-title":"The OpenCV Library","volume":"25","author":"Bradski","year":"2000","journal-title":"Dr Dobb's J Softw Tools"},{"key":"bib15","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/S1076-6332(03)00671-8","article-title":"Statistical validation of image segmentation quality based on a spatial overlap index","volume":"11","author":"Zou","year":"2004","journal-title":"Acad Radiol"},{"issue":"8","key":"bib16","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1364\/BOE.8.003627","article-title":"ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.","volume":"8","author":"Roy","year":"2017","journal-title":"Biomed Opt Express."},{"key":"bib17","doi-asserted-by":"crossref","article-title":"Panoptic feature pyramid networks.","author":"Kirillov","DOI":"10.1109\/CVPR.2019.00656"},{"key":"bib18","doi-asserted-by":"publisher","first-page":"6505","DOI":"10.1167\/iovs.14-14525","article-title":"Nerve fiber layer thinning lags retinal ganglion cell density following crush axonopathy","volume":"55","author":"Munguba","year":"2014","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"bib19","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1109\/TMI.2010.2087390","article-title":"Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach","volume":"30","author":"Yazdanpanah","year":"2011","journal-title":"IEEE Trans Med Imaging"},{"key":"bib20","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1109\/TMI.2009.2031324","article-title":"Segmentation of the optic disc in 3-D OCT scans of the optic nerve head","volume":"29","author":"Lee","year":"2010","journal-title":"IEEE Trans Med Imaging"},{"issue":"18","key":"bib21","doi-asserted-by":"publisher","first-page":"19413","DOI":"10.1364\/OE.18.019413","article-title":"Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation","volume":"18","author":"Chiu","year":"2010","journal-title":"Opt Express"},{"key":"bib22","doi-asserted-by":"publisher","first-page":"1436","DOI":"10.1109\/TMI.2009.2016958","article-title":"Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images","volume":"28","author":"Garvin","year":"2009","journal-title":"IEEE Trans Med Imaging"},{"key":"bib23","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1364\/BOE.4.001133","article-title":"Retinal layer segmentation of macular OCT images using boundary classification","volume":"4","author":"Lang","year":"2013","journal-title":"Biomed Opt Express"},{"key":"bib24","doi-asserted-by":"publisher","first-page":"3857","DOI":"10.1016\/j.patcog.2015.06.009","article-title":"Parallel double snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects","volume":"48","author":"Rossant","year":"2015","journal-title":"Pattern Recog"},{"key":"bib25","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","article-title":"Active contours without edges","volume":"10","author":"Chan","year":"2001","journal-title":"IEEE Trans Image Process"},{"key":"bib26","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.patcog.2017.07.004","article-title":"Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance","volume":"72","author":"Duan","year":"2017","journal-title":"Pattern Recognit"},{"key":"bib27","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1049\/cvi2.v12.2","article-title":"Open snake model based on global guidance field for embryo vessel location","volume":"12","author":"Xie","year":"2018","journal-title":"IET Comput Vis"},{"key":"bib28","first-page":"223","article-title":"An introduction to active shape models","author":"Cootes","year":"2000","journal-title":"Image Process Anal"},{"issue":"5","key":"bib29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3234150","article-title":"A survey on deep learning: Algorithms, techniques, and applications","volume":"51","author":"Pouyanfar","year":"2018","journal-title":"ACM Comput Surv"},{"key":"bib31","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1007\/s11280-018-0548-3","article-title":"Multimodal deep representation learning for video classification","volume":"22","author":"Tian","year":"2019","journal-title":"World Wide Web"},{"key":"bib34","doi-asserted-by":"publisher","first-page":"4509","DOI":"10.1364\/BOE.9.004509","article-title":"Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images","volume":"9","author":"Shah","year":"2018","journal-title":"Biomed Opt Express"},{"key":"bib35","doi-asserted-by":"publisher","first-page":"103445","DOI":"10.1016\/j.compbiomed.2019.103445","article-title":"Deep learning based retinal OCT segmentation.","volume":"114","author":"Pekala","year":"2019","journal-title":"Comput Biol Med."},{"key":"bib36","first-page":"136","article-title":"Deep-learning-based estimation of 3D optic-nerve-head shape from 2D color fundus photographs in cases of optic disc swelling.","author":"Islam","year":"2020","journal-title":"Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12069 LNCS."},{"issue":"6","key":"bib37","doi-asserted-by":"publisher","first-page":"1321","DOI":"10.1109\/TMI.2010.2047023","article-title":"Three-dimensional analysis of retinal layer texture: Identification of fluid-filled regions in SD-OCT of the macula.","volume":"29","author":"Quellec","year":"2010","journal-title":"IEEE Trans Med Imaging."},{"issue":"3","key":"bib38","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.1364\/BOE.8.001319","article-title":"Lateral resolution improvement of oversampled OCT images using Capon estimation of weighted subvolume contribution.","volume":"8","author":"Bousi","year":"2017","journal-title":"Biomed Opt Express."},{"key":"bib9","first-page":"44","article-title":"The retina as a window to the brain - From eye research to CNS disorders.","volume-title":"Nat Rev Neurol.","author":"London","year":"2013"},{"key":"bib10"},{"key":"bib11","first-page":"364","article-title":"Image segmentation with pyramid dilated convolution based on ResNet and U-Net.","volume-title":"Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics).","author":"Zhang","year":"2017"},{"key":"bib12","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume-title":"Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","author":"Ronneberger","year":"2015"},{"key":"bib13","first-page":"770","article-title":"Deep residual learning for image recognition","volume-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"He","year":"2016"},{"key":"bib30","first-page":"1725","article-title":"Large-scale video classification with convolutional neural networks","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Karpathy","year":"2014"},{"key":"bib32","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1109\/ICMEW.2019.00124","article-title":"SP-ASDNet: CNN-LSTM based ASD classification model using observer scanpaths","volume-title":"2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","author":"Tao","year":"2019"},{"key":"bib33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/MLSP.2019.8918863","article-title":"Recognition of atypical behavior in autism diagnosis from video using pose estimation over time","volume-title":"IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","author":"Vyas","year":"2019"}],"container-title":["Translational Vision Science & Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/tvst.arvojournals.org\/article.aspx?articleid=2776503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T13:49:53Z","timestamp":1627048193000},"score":1,"resource":{"primary":{"URL":"https:\/\/tvst.arvojournals.org\/article.aspx?articleid=2776503"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":38,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021,7,1]]}},"URL":"https:\/\/doi.org\/10.1167\/tvst.10.8.21","relation":{},"ISSN":["2164-2591"],"issn-type":[{"value":"2164-2591","type":"print"}],"subject":[],"published":{"date-parts":[[2021,7,23]]}}}