{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T20:49:33Z","timestamp":1777495773944,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board, Department of Science and Technology, India","doi-asserted-by":"publisher","award":["EMR\/2016\/002677"],"award-info":[{"award-number":["EMR\/2016\/002677"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3244922","type":"journal-article","created":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T18:57:10Z","timestamp":1676401030000},"page":"17241-17251","source":"Crossref","is-referenced-by-count":30,"title":["A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5116-9127","authenticated-orcid":false,"given":"Mohammad","family":"Rahil","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6082-391X","authenticated-orcid":false,"given":"B. N.","family":"Anoop","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2101-2388","authenticated-orcid":false,"given":"G. N.","family":"Girish","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Information Technology Sri City, Chittoor, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0196-7021","authenticated-orcid":false,"given":"Abhishek R.","family":"Kothari","sequence":"additional","affiliation":[{"name":"Pink City Eye and Retina Center, Jaipur, India"}]},{"given":"Shashidhar G.","family":"Koolagudi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8045-6005","authenticated-orcid":false,"given":"Jeny","family":"Rajan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-7796-6.ch013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9394(53)90302-X"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590943"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2810379"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857333"},{"issue":"12","key":"ref6","first-page":"5949","article-title":"Fully automated segmentation of intraretinal cysts in 3D optical coherence tomography","volume":"57","author":"Venhuizen","year":"2016","journal-title":"Investigative Ophthalmol. Vis. Sci."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.001577"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2666045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.004257"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.10.031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.001874"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/srep21739"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102463"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-32-9291-8_10"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2374354"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2901398"},{"key":"ref17","article-title":"A generalized motion pattern and FCN based approach for retinal fluid detection and segmentation","author":"Yadav","year":"2017","journal-title":"arXiv:1712.01073"},{"key":"ref18","first-page":"9","article-title":"Deep neural networks for the detection and segmentation of the retinal fluid in OCT images","volume-title":"Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH)","author":"Kang"},{"key":"ref19","first-page":"15","article-title":"Automatic segmentation of fluid-associated abnormalities and pigment epithelial detachment in retinal SD-OCT images","volume-title":"Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH)","author":"Chen"},{"key":"ref20","first-page":"22","article-title":"Simultaneous classification and segmentation of cysts in retinal OCT","volume-title":"Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH)","author":"Apostolopoulos"},{"key":"ref21","first-page":"30","article-title":"Retinal fluid segmentation and classification in OCT images using adversarial loss based CNN","volume-title":"Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH)","author":"Tennakoon"},{"key":"ref22","article-title":"Retinal fluid segmentation and detection in optical coherence tomography images using fully convolutional neural network","author":"Lu","year":"2017","journal-title":"arXiv:1710.04778"},{"key":"ref23","article-title":"Simultaneous detection and quantification of retinal fluid with deep learning","author":"Morley","year":"2017","journal-title":"arXiv:1708.05464"},{"key":"ref24","first-page":"54","article-title":"Detection and segmentation of various types of fluids with graph shortest path and deep learning approaches","volume-title":"Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH)","author":"Rashno"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105566"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3017449"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104727"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/a13030060"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3077988"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT51521.2020.9408988"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS49503.2020.00111"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00052"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_36"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1117\/12.2582338"},{"key":"ref35","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2986926"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2664042"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/sj.eye.6700729"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.sjopt.2012.04.005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0b013e3180a032db"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0b013e3182993f66"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.2307\/1932409.JSTOR1932409"},{"key":"ref43","first-page":"37","article-title":"Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation","author":"Powers","year":"2011","journal-title":"Int. J. Mach. Learn. Technol."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10043848.pdf?arnumber=10043848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T15:34:07Z","timestamp":1707838447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10043848\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3244922","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}