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Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty

Year: 2025

Type: article

Source: IEEE Transactions on Cybernetics

DOI: 10.1109/tcyb.2025.3604432

Authors: Ke Zou, Yidi Chen, Ling Huang, Nan Zhou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Yih Chung Tham, Huazhu Fu

Institutions: Sichuan University, West China Hospital of Sichuan University, National University of Singapore, Agency for Science, Technology and Research, Institute of High Performance Computing

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Research Foundation Singapore, China Scholarship Council, Department of Science and Technology of Sichuan Province, National Key Research and Development Program of China, Helaina

Awards: G1912546676, G3111654772, G450998822, G6503590525

OpenAlex ID: W4414431969

FWCI: 5.031

Cites: 41

Cited by: 14

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