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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Automatic segmentation and classification of GBM and SBM using a 3D deep learning model on multiparametric MRI: a multi-center study

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Authors

MWMingzhen WuJLJixin LuanHWHaijie Wang

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Overview

Multi-center analysis finds 3D deep learning improves MRI classification accuracy in glioblastoma and SBM cases, suggesting enhanced tumor assessment.

Key Points

  • The 3D deep learning model significantly improved diagnostic accuracy for glioblastoma and solitary brain metastasis.
  • It outperformed both 2D deep learning and radiomics models in tumor classification based on multiparametric MRI.
  • Data from 314 patients across multiple centers formed a comprehensive dataset for the analysis.
  • Improved radiologist performance with the 3D model highlights potential for routine clinical implementation.

Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/68d45b0b31b076d99fa5cf81https://doi.org/10.58530/2025/0255
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