Unified ich quantification and prognosis prediction in ncct images using a multi-task interpretable network

HIGHLIGHTS

• who: Kai Gong from the Mines-Telecom Institute Alu00e8s, France Hebei University of Technology, China have published the research: Unified ICH quantification and prognosis prediction in NCCT images using a multi-task interpretable network, in the Journal: (JOURNAL)
• what: This paper describes a lightweight multi-task learning framework firstly, which is specifically designed to identify and Frontiers in Neuroscience evaluate ICH hematoma volumes by training a large number of NCCT images collected from 258 patients with ICH. To further improve the interpretability of the model, Gradient-weighted Class Activation Mapping (Grad-CAM) is utilized to . . .
  

   

  

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