Vgg-c transform model with batch normalization to predict alzheimer’s disease through mri dataset

HIGHLIGHTS

• who: Batzaya Tuvshinjargal and Heejoung Hwang from the Department of Computer Engineering, Gachon University, Seongnamdaero, Sujeong-gu have published the Article: VGG-C Transform Model with Batch Normalization to Predict Alzheimer’s Disease through MRI Dataset, in the Journal: Electronics 2022, 11, 2601. of /2022/
• what: The authors propose an improved prediction method for Alzheimer's disease using a quantization method that transforms the MRI data set using a VGG-C Transform model and a convolutional neural network (CNN) consisting of batch normalization. The authors propose a VGG model-based architecture that can learn while . . .
  

   

  

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