{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:18:33Z","timestamp":1761895113814,"version":"build-2065373602"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209964","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["HGCL: Semi-Supervised Polyp Segmentation via Hierarchical Granularity Contrastive Learning"],"prefix":"10.1109","author":[{"given":"Xiaogang","family":"Du","sequence":"first","affiliation":[{"name":"Shaanxi University of Science and Technology,Shaanxi Joint Laboratory of Artificial Intelligence,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi University of Science and Technology,Shaanxi Joint Laboratory of Artificial Intelligence,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Lei","sequence":"additional","affiliation":[{"name":"Shaanxi University of Science and Technology,Shaanxi Joint Laboratory of Artificial Intelligence,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongfei","family":"Liu","sequence":"additional","affiliation":[{"name":"Shaanxi University of Science and Technology,Shaanxi Joint Laboratory of Artificial Intelligence,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingbo","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi University of Science and Technology,Shaanxi Joint Laboratory of Artificial Intelligence,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asoke K.","family":"Nandi","sequence":"additional","affiliation":[{"name":"Brunel University of London,Department of Electronic and Electrical Engineering,London,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-020-00445-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063716"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12419"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2023.3286866"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_26"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_24"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25382"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447013"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3368154"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72114-4_65"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094869"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2022.102092"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3443262"},{"article-title":"Representation learning with contrastive predictive coding","year":"2018","author":"Oord","key":"ref20"},{"key":"ref21","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"Tarvainen","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065722500162"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/467"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3266137"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI56570.2024.10635443"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_40"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209964.pdf?arnumber=11209964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:43:22Z","timestamp":1761889402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209964","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}