Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters-Reference-Cited by-同舟云学术

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Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters

Published:2024-07 Issue: Volume: Page:
ISSN:2095-9273
Container-title:Science Bulletin
language:en
Short-container-title:Science Bulletin

Author:

Wu Junde,Fang Huihui,Zhu Jiayuan,Zhang Yu,Li Xiang,Liu Yuanpei,Liu Huiying,Jin Yueming,Huang Weimin,Liu Qi,Chen Cen,Liu Yanfei,Duan Lixin,Xu Yanwu,Xiao Li,Yang Weihua,Liu Yue

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research and Discipline Layout Project

China Academy of Chinese Medical Sciences

Beijing Natural Science Foundation

Publisher

Elsevier BV

Reference51 articles.

1. Refuge challenge: A unified frame-work for evaluating automated methods for glaucoma assessment from fundus photographs;Orlando;Med Image Anal,2020

2. Inequalities between multi-rater kappas;Warrens;Adv Data Anal Classi,2010

3. Ji W, Yu S, Wu JD, et al. Learning calibrated medical image segmentation via multi-rater agreement modeling. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR). Vancouver; 2021; 12341–12351.

4. Wu JD, Fang HH, Yang DL. et al. Opinions vary? diagnosis first! In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Singapore; 2022; 604-613.

5. Maximum likelihood estimation of observer error-rates using the EM algorithm;Dawid;J R Stat Soc C-Appl,1979

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