{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T20:28:20Z","timestamp":1730233700703,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T00:00:00Z","timestamp":1688601600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T00:00:00Z","timestamp":1688601600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100007063","name":"University of Delhi","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007063","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,6]]},"DOI":"10.1109\/icccnt56998.2023.10306437","type":"proceedings-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T13:54:40Z","timestamp":1700747680000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Classification of Ocular Diseases using Retinal Fundus Images by Leveraging Advance Transfer Learning and Deep Learning Techniques"],"prefix":"10.1109","author":[{"given":"Geethanjali","family":"Kher","sequence":"first","affiliation":[{"name":"University of Delhi,Kirori Mal College,Department of Computer Science,Delhi,India"}]},{"given":"Vanshika","family":"Singh","sequence":"additional","affiliation":[{"name":"Thapar Institute of Engineering and Technology,Department of Electronic and Communication,Patiala,India"}]},{"given":"Neelam","family":"Dabas","sequence":"additional","affiliation":[{"name":"University of Delhi,Shyam Lal College,Department of Computer Science,Delhi,India"}]},{"given":"Rajni","family":"Bala","sequence":"additional","affiliation":[{"name":"University of Delhi,DDUC,Department of Computer Science,Delhi,India"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1260\/2040-2295.1.1.1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCI50826.2021.9402566"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.07.006"},{"key":"ref14","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Neural Information Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.820400"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.05.073"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2015","author":"simonyan","key":"ref2"},{"key":"ref1","article-title":"Vision for everyone: accelerating action to achieve the sustainable development goals","volume":"24","author":"assembly","year":"2021","journal-title":"75th Session Agenda Item"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.05.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10194488"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3037771"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"2702","DOI":"10.4103\/ijo.IJO_92_21","article-title":"Identification of glaucoma from fundus images using deep learning techniques","volume":"69","author":"ajitha","year":"2021","journal-title":"Indian Journal of Ophthalmology"},{"year":"0","key":"ref24","article-title":"Eye diseases classification"},{"year":"2016","key":"ref23","article-title":"Torchvision: Pytorch’s computer vision library"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.survophthal.2022.08.005"},{"article-title":"Indian diabetic retinopathy image dataset (idrid)","year":"2018","author":"porwal","key":"ref25"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2021.0121269"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2015.00036"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/5007111"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SCORED.2018.8711106"},{"key":"ref7","first-page":"9211","article-title":"Retinal fundus image enhancement using adaptive clahe methods","volume":"1533","author":"patil","year":"2020","journal-title":"Journal of Seybold Report ISSN NO"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIP.2014.25"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-71058-3_11"},{"key":"ref5","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","start":{"date-parts":[[2023,7,6]]},"location":"Delhi, India","end":{"date-parts":[[2023,7,8]]}},"container-title":["2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10306338\/10306339\/10306437.pdf?arnumber=10306437","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T15:19:35Z","timestamp":1701271175000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10306437\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icccnt56998.2023.10306437","relation":{},"subject":[],"published":{"date-parts":[[2023,7,6]]}}}