{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T11:56:29Z","timestamp":1753358189058,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428108","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Let\u2019s Find Fluorescein: Cross-Modal Dual Attention Learning For Fluorescein Leakage Segmentation In Fundus Fluorescein Angiography"],"prefix":"10.1109","author":[{"given":"Yang","family":"Wen","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Media Technology of Sichuan Province"}]},{"given":"Leiting","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Media Technology of Sichuan Province"}]},{"given":"Lifeng","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Medicine"}]},{"given":"Yu","family":"Deng","sequence":"additional","affiliation":[{"name":"King&#x2019;s College London,Dept. Biomedical Engineering,London,UK"}]},{"given":"Haisheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Media Technology of Sichuan Province"}]},{"given":"Tian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Media Technology of Sichuan Province"}]},{"given":"Chuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Media Technology of Sichuan Province"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.14-15457"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00448"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01005"},{"key":"ref15","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","first-page":"1","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2019","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref19","first-page":"3","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"2018"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.preteyeres.2018.07.004","article-title":"Artificial intelligence in retina","volume":"67","author":"ursula","year":"2018","journal-title":"Progress in Retinal and Eye Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0000000000002045"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1001\/jamaophthalmol.2014.2854"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.01.003"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF00170690"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2016-310047"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaophthalmol.2018.5654"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.12669\/pjms.336.13405"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/44\/1\/021"},{"key":"ref20","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"ICML"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Computer Science"},{"key":"ref21","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"CVPR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/srep10425"},{"key":"ref23","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313558"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2021,7,5]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428108.pdf?arnumber=9428108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:28:22Z","timestamp":1656365302000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428108","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}