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Updated: May 2, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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贝叶斯的深度细分框架用于使用后续MRI进行质母细胞瘤细分

Tanjida Kabir1,2, Kang-Lin Hsieh1,2, Luis Nunez3

  • 1Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.

Frontiers in neuroimaging
|November 10, 2025
PubMed
概括

一个新的贝叶斯深度细分模型在随访MRI中准确地细分质母细胞瘤 (GBM) 亚区域,改善治疗后的评估. 这有助于大脑瘤分析和患者管理.

关键词:
贝叶斯深度学习是贝叶斯的深度学习.大脑瘤的细分 脑瘤的细分质母细胞瘤 (glioblastoma) 是一种机器学习是机器学习.磁共振成像技术的使用

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