Noninvasive classification of glioma subtypes using multiparametric mri to improve deep learning

HIGHLIGHTS

  • who: Diaohan Xiong and collaborators from the Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China have published the Article: Noninvasive Classification of Glioma Subtypes Using Multiparametric MRI to Improve Deep Learning, in the Journal: Diagnostics 2022, 3063 of /2022/
  • what: The authors compared different DL frameworks, MRI sequences, and slice preprocessing strategies for improving the accuracy of the model , and aimed to explore the effect of different inputs on the accuracy of the model in predicting glioma subtypes. The results of GradCAM analysis in this study demonstrated that DL models can learn from . . .

     

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