Machine learning based framework for brain tumor detection and classification

HIGHLIGHTS

• What: This research provides a significant contribution to the field of medical image analysis offering a robust and accurate tool for aiding in the early detection and of brain tumors. By combining the outputs of the Custom CNN, MobileNet, ResNet-152, VGG-16, and DenseNet-169 models, the ensemble approach aims to mitigate the weaknesses of individual models and capitalize on their strengths. This research provides a comprehensive solution for brain tumor classification using MRI images through the application of advanced deep learning models.
• Who: MobileNet et al. from the Dev Bhoomi Uttarakhand University, Dehradun . . .
  

   

  

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