Sept. 2024 · Volume 43, Issue 9 · Vol. 43 · Issue 9 · DOI 10.1109/TMI.2024.3394045
Junde Wu, Yu Zhang, Huihui Fang, Lixin Duan, Mingkui Tan, Weihua Yang, Chunhui Wang, Huiying Liu
Abstract / 摘要
EnglishMany of the tissues/lesions in the medical images may be ambiguous. Therefore, medical segmentation is typically annotated by a group of clinical experts to mitigate personal bias. A common solution to fuse different annotations is the majority vote, e.g., taking the average of multiple labels. However, such a strategy ignores the difference between the grader expertness. Inspired by the observati...
Author Info / 作者信息
Junde Wu
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Yu Zhang
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Huihui Fang
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Lixin Duan
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Mingkui Tan
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Weihua Yang
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Chunhui Wang
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Huiying Liu
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Translation: pending
AI: pending
Article 10508990
Sept. 2024 · Volume 43, Issue 9 · Vol. 43 · Issue 9 · DOI 10.1109/TMI.2024.3411999
Authors pending
Translation: pending
AI: pending
Article 10663883