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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
Article Authors Cited by Tweetations Metrics

Yueyan Zhao   1 , BSc ;   Jianqiang Liu   2 , MSc ;   Lingyu Shao   1 , MSc ;   Lin Li   1 , MSc ;   Zhaoqing Liu   1 , MSc ;   Yujie Liu   1 , MSc ;   Jiaxin Wen   1 , BSc ;   Xinyao Hao   1 , BSc ;   Shuyan Li   1 , PhD ;   Jianhong Zhao   2 , MD ;   Boming Song   1 , PhD

1 School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China

2 Department of Radiology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China

Corresponding Author:

  • Boming Song, PhD
  • School of Medical Information and Engineering
  • Xuzhou Medical University
  • KJL_E202 Room, 209 Tongshan Road, Xuzhou Medical University, Yunlong District
  • Xuzhou, Jiangsu 221004
  • China
  • Phone: 86 15852036109
  • Email: boming.song@xzhmu.edu.cn