{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T17:18:42Z","timestamp":1778001522127,"version":"3.51.4"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61403287"],"award-info":[{"award-number":["61403287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472293"],"award-info":[{"award-number":["61472293"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572381"],"award-info":[{"award-number":["61572381"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2014M552039"],"award-info":[{"award-number":["2014M552039"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2014CFB288"],"award-info":[{"award-number":["2014CFB288"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Wenzhou Science and Technology Bureau","award":["Y20150086"],"award-info":[{"award-number":["Y20150086"]}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LY16F030010"],"award-info":[{"award-number":["LY16F030010"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/jbhi.2018.2856276","type":"journal-article","created":{"date-parts":[[2018,7,16]],"date-time":"2018-07-16T21:56:37Z","timestamp":1531778197000},"page":"1404-1416","source":"Crossref","is-referenced-by-count":50,"title":["Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3467-5607","authenticated-orcid":false,"given":"Xiaoming","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0903-6697","authenticated-orcid":false,"given":"Tianyu","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.002732"},{"key":"ref32","article-title":"Fluid region segmentation in OCT images based on convolution neural network","volume":"10420","author":"liu","year":"0","journal-title":"Proc 9th Int Conf Digit Imag Process"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.07.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7163869"},{"key":"ref35","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc 18th Int Conf Med Imag Comput Comput -Assisted Intervention"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.003627"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref62","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref61","article-title":"Semantic segmentation using adversarial networks","author":"luc","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-bioeng-071516-044442"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref29","author":"zhou","year":"2017","journal-title":"Deep learning for medical image analysis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1957169"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2007.07.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.05.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.201500239"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.5.001062"},{"key":"ref24","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":"ref23","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.002888"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535865"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.6.001172"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.4.1.014002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2006.872816"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.820374"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/BF00133570"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2104950"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2286539"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/34.531803"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2015.08.008"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2675382"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.019413"},{"key":"ref13","article-title":"Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images","author":"liu","year":"0","journal-title":"Proc 8th Int Conf Digit Image Process"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2359980"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.21.7.076015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2016958"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2225152"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2191302"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.2.001743"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.11-9369"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2004.08.069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.14-15126"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.11-7693"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0b013e3181bd2f94"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2387207"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/OE.17.023719"},{"key":"ref46","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref45","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2461533"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126496"},{"key":"ref42","article-title":"A deep convolutional feature based learning layer-specific edges method for segmenting OCT image","author":"fu","year":"0","journal-title":"Proc 9th Int Conf Digit Imag Process"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2377715"},{"key":"ref44","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proceedings of the 32nd Intl Conf on Machine Learning"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/8752487\/08411332.pdf?arnumber=8411332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:07:24Z","timestamp":1657746444000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8411332\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":62,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2018.2856276","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}