{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:14:31Z","timestamp":1774016071672,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"BMSTC","award":["Z181100001918035"],"award-info":[{"award-number":["Z181100001918035"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876013"],"award-info":[{"award-number":["61876013"]}],"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":["61573037"],"award-info":[{"award-number":["61573037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010261","name":"Fok Ying Tung Education Foundation","doi-asserted-by":"publisher","award":["151061"],"award-info":[{"award-number":["151061"]}],"id":[{"id":"10.13039\/501100010261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1109\/tmi.2019.2927226","type":"journal-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T20:01:27Z","timestamp":1562875287000},"page":"413-424","source":"Crossref","is-referenced-by-count":253,"title":["A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection"],"prefix":"10.1109","volume":"39","author":[{"given":"Liu","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Hanruo","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1751-1742","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiaofei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Lai","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Zulin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Ningli","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-33013-w"},{"key":"ref38","article-title":"Action recognition using visual attention","author":"sharma","year":"2016","journal-title":"arXiv 1511 04119"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.4.044003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2014.05.005"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.14.002884"},{"key":"ref30","article-title":"Thoracic disease identification and localization with limited supervision","author":"li","year":"2017","journal-title":"arXiv 1711 06373"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67561-9_19"},{"key":"ref36","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc NIPS"},{"key":"ref35","article-title":"CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning","author":"rajpurkar","year":"2017","journal-title":"arXiv 1711 05225"},{"key":"ref34","article-title":"Predicting cardiovascular risk factors from retinal fundus photographs using deep learning","author":"poplin","year":"2017","journal-title":"arXiv 1708 09843"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01082"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590952"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2018.01.023"},{"key":"ref2","article-title":"Multiple object recognition with visual attention","author":"ba","year":"2015","journal-title":"Arxiv 1412 7755"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2011.2119322"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.38"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2247770"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31298-4_47"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3131275"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"ref26","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":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.023"},{"key":"ref51","first-page":"66","article-title":"Volumetric convnets with mixed residual connections for automated prostate segmentation from 3D MR images","author":"yu","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2016.07.012"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_17"},{"key":"ref53","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc IEEE ECCV"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.648"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_65"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837012"},{"key":"ref40","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2011.5999143"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.02.008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_29"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296646"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1001\/archopht.124.11.1579"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","article-title":"A benchmark of computational models of saliency to predict human fixations","author":"judd","year":"2012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(13)70113-X"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7318462"},{"key":"ref5","first-page":"1160","article-title":"Mitosis detection in breast cancer histology images via deep cascaded networks","author":"chen","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2011.2176540"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2628583"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.18152"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2014.05.013"},{"key":"ref48","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc ICML"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2013.08.010"},{"key":"ref42","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2014","journal-title":"arXiv 1412 6806"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.10.010"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/bs.pbr.2015.03.001"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/8979213\/08756196.pdf?arnumber=8756196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:58:30Z","timestamp":1651067910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8756196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":56,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2019.2927226","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2]]}}}