{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T06:47:01Z","timestamp":1730270821898,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"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":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9340750","type":"proceedings-article","created":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T22:22:17Z","timestamp":1615242137000},"page":"10145-10151","source":"Crossref","is-referenced-by-count":1,"title":["Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification"],"prefix":"10.1109","author":[{"given":"Xiaohan","family":"Xing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixuan","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max Q.-H.","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101733"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3010102"},{"key":"ref12","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref15","first-page":"3","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc ECCV"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00232"},{"article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","year":"2016","author":"zagoruyko","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.3390\/s19061265","article-title":"Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images","volume":"19","author":"alaskar","year":"2019","journal-title":"SENSORS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2522159"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_33"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759401"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aad51c"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/35013140"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1109\/JPROC.2019.2950506","article-title":"Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition","volume":"108","author":"jia","year":"2019","journal-title":"Proceedings of the IEEE"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.228"},{"key":"ref22","first-page":"51","article-title":"Learning to zoom: a saliency-based sampling layer for neural networks","author":"recasens","year":"2018","journal-title":"Proc ECCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref24","first-page":"441","article-title":"Cad-cap: une base de données française à vocation internationale, pour le développement et la validation d’outils de diagnostic assisté par ordinateur en vidéocapsule endoscopique du grêle","volume":"50","author":"dray","year":"2018","journal-title":"Endoscopy"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2020,10,24]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09340750.pdf?arnumber=9340750","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:23Z","timestamp":1656453443000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9340750\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9340750","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}