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

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Publication Details

Journal
British Journal of Radiology
Published
2026-02-05
DOI
https://doi.org/10.1093/bjr/tqag027
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00
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Automated segmentation of complicated cystic renal masses using 3D V-Net convolutional neural network on MRI

Bin Huang, Haejin Kang, H T Wang, Lei Li et al.
British Journal of Radiology
Renal cell carcinoma treatment
article

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

Bin Huang, Haejin Kang, H T Wang, Lei Li, Zhe Liu, Xu Bai, Huiyi Ye, Chuang Jia, Jian Zhao, Hao Guo, Jian Xue, Xueyi Ning, He Wang, Huiping Guo, Mengqiu Cui
article en

Abstract

No abstract available for this paper.
British Journal of Radiology
Harbin Medical University (CN), Peking University (CN), Chinese PLA General Hospital (CN), Yuhuangding Hospital (CN), Daqing City People's Hospital (CN), Peking University First Hospital (CN), Beijing Friendship Hospital (CN), First People's Hospital of Chongqing (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 66%
Renal cell carcinoma treatment
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Automated segmentation of complicated cystic renal masses using 3D V-Net convolutional neural network on MRI — Bin Huang, Haejin Kang, et al. · British Journal of Radiology (2026) | TGRS Research Map | TGRS