Work

Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation

Year: 2025

Type: article

Source: IEEE Transactions on Image Processing

DOI: 10.1109/tip.2025.3610249

Authors: Guotai Wang, Jia Fu, Jianghao Wu, Xiangde Luo, Yubo Zhou, Xinglong Liu, Kang Li, Jingsheng Lin, Baiyong Shen, Shaoting Zhang

Institutions: University of Electronic Science and Technology of China, Sensetime (China), Sichuan University, West China Medical Center of Sichuan University, West China Hospital of Sichuan University, Shanghai Jiao Tong University, Ruijin Hospital

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 Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, National Key Research and Development Program of China

Awards: G5348928810, G5603717266, G6476873675

OpenAlex ID: W4414452736

FWCI: 0.362

Cites: 48

Cited by: 1

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