{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T07:28:15Z","timestamp":1748330895715},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"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":[[2021,8,19]]},"DOI":"10.1109\/rivf51545.2021.9642070","type":"proceedings-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T16:08:09Z","timestamp":1640102889000},"page":"1-6","source":"Crossref","is-referenced-by-count":9,"title":["AG-ResUNet++: An Improved Encoder-Decoder Based Method for Polyp Segmentation in Colonoscopy Images"],"prefix":"10.1109","author":[{"given":"Nguyen Ba","family":"Hung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen","family":"Thanh Duc","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thai","family":"Van Chien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dinh","family":"Viet Sang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISM46123.2019.00049"},{"key":"ref11","first-page":"290","article-title":"Automatic polyp segmentation using convolutional neural networks","author":"kassani","year":"2020","journal-title":"Canadian Conference on Artificial Intelligence"},{"key":"ref12","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1055\/s-0043-109430"},{"article-title":"Attention u-net: Learning where to look for the pancreas","year":"2018","author":"oktay","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3079765"},{"key":"ref16","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref17","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"article-title":"The medicotask 2018: Disease detection in the gastrointestinal tract using global features and deep learning","year":"2018","author":"thambawita","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.013"},{"key":"ref3","first-page":"424","article-title":"3d u-net: learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5220\/0007698806320641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_19"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208129"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1142\/S2424905X18400020"},{"key":"ref9","first-page":"451","article-title":"Kvasirseg: A segmented polyp dataset","author":"jha","year":"2020","journal-title":"Proc ICMMT"},{"article-title":"Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation","year":"2018","author":"alom","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0301-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.04.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2285230"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"}],"event":{"name":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","start":{"date-parts":[[2021,8,19]]},"location":"Hanoi, Vietnam","end":{"date-parts":[[2021,8,21]]}},"container-title":["2021 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9642022\/9642065\/09642070.pdf?arnumber=9642070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:54:55Z","timestamp":1652187295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9642070\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,19]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/rivf51545.2021.9642070","relation":{},"subject":[],"published":{"date-parts":[[2021,8,19]]}}}