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Automated segmentation of complicated cystic renal masses using 3D V-Net convolutional neural network on MRI

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Year: 2026
Type: article
Source: British Journal of Radiology
DOI: 10.1093/bjr/tqag027
Authors: Huanhuan Kang, Chuang Jia, Zhongyi Wang, Bin Huang, He Wang, He Wang, Jiahui Jiang, Zhe Liu, Mengqiu Cui, Jian Zhao, Xu Bai, Lin Li, Huiping Guo, Xueyi Ning, Huiyi Ye, Dawei Yang, Hao Guo, Jian Xue, Haiyi Wang, Haiyi Wang
Institutions: Chinese PLA General Hospital, First Affiliated Hospital of Chinese PLA General Hospital, University of Chinese Academy of Sciences, Yuhuangding Hospital, Peking University First Hospital, Capital Medical University, Beijing Friendship Hospital, Chinese People's Liberation Army
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

Funder: National Natural Science Foundation of China
Awards: G1351622164, G2796307334, G4853001542
OpenAlex ID: W7128041843
FWCI:
Cites: 39
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