{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T20:43:57Z","timestamp":1788900237212,"version":"build-2803163510"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"BEP","award":["1521480034"],"award-info":[{"award-number":["1521480034"]}]},{"name":"Ningbo 3315 Innovation Team","award":["Y61102DL03"],"award-info":[{"award-number":["Y61102DL03"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602345"],"award-info":[{"award-number":["61602345"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/tcyb.2019.2897162","type":"journal-article","created":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T19:53:31Z","timestamp":1550260411000},"page":"3358-3366","source":"Crossref","is-referenced-by-count":62,"title":["Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network"],"prefix":"10.1109","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9702-5524","authenticated-orcid":false,"given":"Huazhu","family":"Fu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1779-931X","authenticated-orcid":false,"given":"Yanwu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Damon Wing Kee","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mani","family":"Baskaran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meenakshi","family":"Mahesh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tin","family":"Aung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6281-6505","authenticated-orcid":false,"given":"Jiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2806279"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref33","first-page":"1","article-title":"Anterior chamber angle shape analysis and classification of glaucoma in SS-OCT images","volume":"2014","author":"ni","year":"2014","journal-title":"Ophthalmology"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2012.01.015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.07-1477"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2387207"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15711-0_74"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1001\/archophthalmol.2011.68"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.18.5.056003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2014.05.013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1136\/bjo.2005.081224"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.18152"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2018.02.037"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593725"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791488"},{"key":"ref25","first-page":"1","article-title":"DeepAMD: Detect early age-related macular degeneration by applying deep learning in a multiple instance learning framework","author":"liu","year":"2018","journal-title":"Proc ACCV"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref51","first-page":"1871","article-title":"LIBLINEAR: A Library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref53","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref52","first-page":"448","article-title":"Batch Normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref10","first-page":"7380","article-title":"Automated anterior chamber angle localization and glaucoma type classification in OCT images","author":"xu","year":"2013","journal-title":"Proc EMBC"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2703147"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_40"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1136\/bjo.2007.129932"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590942"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1561\/2000000039"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref18","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref19","first-page":"1","article-title":"Deep learning for generic object detection: A survey","author":"liu","year":"2018","journal-title":"arXiv 1809 02165"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2018.04.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.survophthal.2013.06.005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2012.07.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/archophthalmol.2009.22"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2166397"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1001\/jamaophthalmol.2016.5847"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref9","first-page":"3167","article-title":"Anterior chamber angle classification using multiscale histograms of oriented gradients for glaucoma subtype identification","author":"xu","year":"2012","journal-title":"Proc EMBC"},{"key":"ref46","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Proc NIPS"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref48","first-page":"5455","article-title":"Visual saliency based on multiscale deep features","author":"li","year":"2015","journal-title":"Proc CVPR"},{"key":"ref47","first-page":"1215","article-title":"Multi-scale recognition with DAG-CNNs","author":"yang","year":"2016","journal-title":"Proc CVPR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2709749"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_16"},{"key":"ref44","first-page":"3642","article-title":"Multi-column deep neural networks for image classification","author":"ciregan","year":"2012","journal-title":"Proc CVPR"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2866260"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9119488\/08642855.pdf?arnumber=8642855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:20:46Z","timestamp":1651080046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8642855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":54,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2019.2897162","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7]]}}}