{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T06:08:20Z","timestamp":1776492500232,"version":"3.51.2"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>Consistency regularization and pseudo labeling-based semi-supervised methods perform co-training using the pseudo labels from multi-view inputs. However, such co-training models tend to converge early to a consensus, degenerating to the self-training ones, and produce low-confidence pseudo labels from the perturbed inputs during training.\n\n    To address these issues, we propose an Uncertainty-guided Collaborative Mean-Teacher (UCMT) for semi-supervised semantic segmentation with the high-confidence pseudo labels. Concretely, UCMT consists of two main components: 1) collaborative mean-teacher (CMT) for encouraging model disagreement and performing co-training between the sub-networks, and 2) uncertainty-guided region mix (UMIX) for manipulating the input images according to the uncertainty maps of CMT and facilitating CMT to produce high-confidence pseudo labels.\n\n    Combining the strengths of UMIX with CMT, UCMT can retain model disagreement and enhance the quality of pseudo labels for the co-training segmentation.\n\n    Extensive experiments on four public medical image datasets including 2D and 3D modalities demonstrate the superiority of UCMT over the state-of-the-art.\n\n    Code is available at: https:\/\/github.com\/Senyh\/UCMT.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/467","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:31:30Z","timestamp":1691742690000},"page":"4199-4207","source":"Crossref","is-referenced-by-count":81,"title":["Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation"],"prefix":"10.24963","author":[{"given":"Zhiqiang","family":"Shen","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"},{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China"}]},{"given":"Peng","family":"Cao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"},{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China"}]},{"given":"Hua","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China"}]},{"given":"Xiaoli","family":"Liu","sequence":"additional","affiliation":[{"name":"DAMO Academy, Alibaba Group, China"}]},{"given":"Jinzhu","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"},{"name":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China"}]},{"given":"Osmar R.","family":"Zaiane","sequence":"additional","affiliation":[{"name":"Alberta Machine Intelligence Institute, University of Alberta, Edmonton, Alberta, Canada"}]}],"member":"10584","event":{"name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","theme":"Artificial Intelligence","location":"Macau, SAR China","acronym":"IJCAI-2023","number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2023,8,19]]},"end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:49:13Z","timestamp":1691743753000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/467"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/467","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}