Cad-alz: a blockwise fine-tuning strategy on convolutional model and random forest classifier for recognition of multistage alzheimer’s disease

HIGHLIGHTS

• who: Qaisar Abbas et al. from the College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia have published the Article: CAD-ALZ: A Blockwise Fine-Tuning Strategy on Convolutional Model and Random Forest Classifier for Recognition of Multistage Alzheimeru2019s Disease, in the Journal: Diagnostics 2023, 13, x FOR PEER REVIEW of 31/Dec/2022
• what: The authors assess the performance of deep features for identifying the four stages of Alzheimer`s disease (ALZ) and suggest deep features based on a transfer learning (TL) strategy. The main contributions of . . .
  

   

  

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