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

Machine Learning (2267) Clinical Information and Decision Making (2109) Neurology and Neurosciences (306) Imaging Informatics (343) Artificial Intelligence (2404) Medical imaging (140) Advancements in Neuroimaging (18) AI in Neurotechnology (10)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84095, first published .
Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study

Authors of this article:

Yupeng Liu1 Author Orcid Image ;   Shuwei Song1 Author Orcid Image ;   Shibo Lian1 Author Orcid Image ;   Xiaochen Zhang2 Author Orcid Image
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Yupeng Liu   1 , PhD ;   Shuwei Song   1 , ME ;   Shibo Lian   1 , ME ;   Xiaochen Zhang   2 , PhD

1 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

2 Heilongjiang Institute of Technology, Harbin, China

Corresponding Author:

  • Xiaochen Zhang, PhD
  • Heilongjiang Institute of Technology
  • No. 999 Hongqi Street, Daowai District, Harbin City, Heilong
  • Harbin 150001
  • China
  • Phone: 86 13608701118
  • Email: zxc161616@126.com