Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuning a Pre-trained Algorithm.

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

Abstract

OBJECTIVE: The increasing longevity of the population has made Alzheimer's disease (AD) a significant public health concern. However, the challenge of accurately distinguishing different disease stages due to limited variability within the same stage and the potential for errors in manual classification highlights the need for more precise approaches to classifying AD stages. In the field of deep learning, the ResNet50V2 model stands as a testament to its exceptional capabilities in image classification tasks.

Authors

  • Abdelmounim Boudi
    School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Jingfei He
    School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Isselmou Abd El Kader
    School of International Education, Hebei University of Technology, Finland Campus, Lahti-Lappeenranta Cities, Finland.

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