An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

OBJECTIVE: The objective of this study is to develop a more effective early detection system for Alzheimer's disease (AD) using a Deep Residual Network (ResNet) model by addressing the issue of convolutional layers in conventional Convolutional Neural Networks (CNN) and applying image preprocessing techniques.

Authors

  • V P Nithya
    Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
  • N Mohanasundaram
    Department of Computer Science and Engineering, Faculty 0f Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
  • R Santhosh
    Department of Computer Science and Engineering, Faculty 0f Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

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