Diagnosis of Alzheimer's Disease Based on Deeply-Fused Nets.

Journal: Combinatorial chemistry & high throughput screening
Published Date: Jan 1, 2021

Abstract

AIM AND OBJECTIVE: Fast and accurate diagnosis of Alzheimer's disease is very important for the care and further treatment of patients. Along with the development of deep learning, impressive progress has also been made in the automatic diagnosis of AD. Most existing studies on automatic diagnosis are concerned with a single base network, whose accuracy for disease diagnosis still needs to be improved. This study was undertaken to propose a method to improve the accuracy of the automatic diagnosis of AD.

Authors

  • Chang Zu Chen
    Intelligent Information Systems Institute, Department of Computer and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China.
  • Qi Wu
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Zuo Yong Li
    Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou 350121, China.
  • Lei Xiao
    Intelligent Information Systems Institute, Department of Computer and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China.
  • Zhong Yi Hu
    Intelligent Information Systems Institute, Department of Computer and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China.

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