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This paper is in the following e-collection/theme issue:

Imaging Informatics (479) Innovations and Technology in Cancer Care (695) Machine Learning (3249) Medical imaging (198) Nephrology/Renal Disorders (144)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78523, first published .
Medical technician operating MRI machine with patient inside

Automated Renal Tumor Segmentation in Computed Tomography Images Using a Global Attention–Based DeepLabV3+ Model: Algorithm Development and Validation

Automated Renal Tumor Segmentation in Computed Tomography Images Using a Global Attention–Based DeepLabV3+ Model: Algorithm Development and Validation

Authors of this article:

Yueyan Zhao1 Author Orcid Image ;   Jianqiang Liu2 Author Orcid Image ;   Lingyu Shao1 Author Orcid Image ;   Lin Li1 Author Orcid Image ;   Zhaoqing Liu1 Author Orcid Image ;   Yujie Liu1 Author Orcid Image ;   Jiaxin Wen1 Author Orcid Image ;   Xinyao Hao1 Author Orcid Image ;   Shuyan Li1 Author Orcid Image ;   Jianhong Zhao2 Author Orcid Image ;   Boming Song1 Author Orcid Image
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