{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:46:01Z","timestamp":1774975561446,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2998635","type":"journal-article","created":{"date-parts":[[2020,5,30]],"date-time":"2020-05-30T00:31:46Z","timestamp":1590798706000},"page":"102733-102747","source":"Crossref","is-referenced-by-count":80,"title":["CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3222-1698","authenticated-orcid":false,"given":"Munazza","family":"Tabassum","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7477-1591","authenticated-orcid":false,"given":"Tariq M.","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Arsalan","sequence":"additional","affiliation":[]},{"given":"Syed Saud","family":"Naqvi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2034-1403","authenticated-orcid":false,"given":"Mansoor","family":"Ahmed","sequence":"additional","affiliation":[]},{"given":"Hussain Ahmed","family":"Madni","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8129-321X","authenticated-orcid":false,"given":"Jawad","family":"Mirza","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-019-0649-y"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0207982"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2018.24.1.53"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2018.24.4.335"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2247770"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2015.7418190"},{"key":"ref37","first-page":"1","article-title":"Convolutional neural network transfer for automated glaucoma identification","author":"orlando","year":"2017","journal-title":"Proc 12th Int Symp Med Inf Process Anal"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1134\/S1054661817030269"},{"key":"ref35","first-page":"3260","article-title":"Segmentation of optic disc and optic cup in retinal fundus images using shape regression","author":"sedai","year":"2016","journal-title":"Proc 38th Annu Int Conf IEEE Eng Med Biol Soc (EMBC)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6814791"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493360"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2106509"},{"key":"ref27","first-page":"6224","article-title":"Automatic optic disc segmentation with peripapillary atrophy elimination","author":"cheng","year":"2011","journal-title":"Proc Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0859-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/bjo.2005.081224"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.07.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IWOBI.2015.7160157"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2016.0812"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN.2015.7095384"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2010.5490144"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.01.014"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/8973287"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00949-6_38"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103485"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2899403"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.10.026"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2053042"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/s19204401"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0126-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451753"},{"key":"ref11","first-page":"1835","article-title":"Optic DSC and cup segmentation based on deep learning","author":"qin","year":"2019","journal-title":"Proc IEEE 3rd Inf Technol Netw Electron Autom Control Conf (ITNEC)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/RoboMech.2019.8704727"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2016.07.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.02.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/sym10040087"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2899910"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917508"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791488"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837012"},{"key":"ref19","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention—MICCAI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.051"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12026-016-8837-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/NEXTCOMP.2017.8016192"},{"key":"ref5","first-page":"1","article-title":"Optic disc and optic cup segmentation methodologies for glaucoma image detection: A survey","volume":"2015","author":"almazroa","year":"2015","journal-title":"Ophthalmology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.01.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICTEmSys.2015.7110827"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ijmedinf.2017.11.015","article-title":"An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection","volume":"110","author":"issac","year":"2018","journal-title":"Int J Med Informat"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref45","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref47","first-page":"1","article-title":"EV-SegNet: Semantic segmentation for event-based cameras","author":"alonso","year":"2019","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"},{"key":"ref42","first-page":"1004","article-title":"A comprehensive retinal image dataset for the assessment of glaucoma from the optic nerve head analysis","volume":"2","author":"sivaswamy","year":"2015","journal-title":"JSM Biomedical Imaging Data Papers"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2852635"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101570"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2011.5999143"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09103492.pdf?arnumber=9103492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:22Z","timestamp":1639770742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9103492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2998635","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}