Brain tumor classification based on neural architecture search

HIGHLIGHTS

• who: Shubham Chitnis from the DepartmentUniversity of have published the Article: Brain tumor classification based on neural architecture search, in the Journal: Scientific Reports Scientific Reports
• what: The aim of LeaSE is to search for a well-performing neural architecture for the explainer. In the experiments, LeaSE was applied to u00adDARTS12, P-DARTS39, and PCDARTS40. The authors propose to automatically identify computationally efficient neural architectures that can make accurate classification of brain tumors, by leveraging a neural architecture search method-Learning by SelfExplanation (LeaSE).
• how: The data used for this work is from . . .
  

   

  

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