{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T00:33:35Z","timestamp":1726014815121},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650223","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["FDAPNet: Feature Denoising and Aggregation Prediction Network for Polyp Segmentation"],"prefix":"10.1109","author":[{"given":"Yang","family":"Deng","sequence":"first","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianzhe","family":"Gao","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Artificial Intelligence,Xiamen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Bao","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Electronic Science,Xiamen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Chen","sequence":"additional","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3162873"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109555"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1055\/s-0031-1291666"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00616"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2254361"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512197"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_12"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","first-page":"3","article-title":"Unet++: A nested u-net architecture for medical image segmentation","volume-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4","author":"Zhou"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_26"},{"article-title":"Transunet: Transformers make strong encoders for medical image segmentation","year":"2021","author":"Chen","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3264513"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16437-8_11"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.26599\/air.2023.9150015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2314959"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001414600143"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2487997"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00360"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_17"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0274-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20144"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121754"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102745"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37734-2_37"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.02.007"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4037190"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.39"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650223.pdf?arnumber=10650223","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:14:39Z","timestamp":1725945279000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650223\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650223","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}