Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains

Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains

Alzheimer’s Disease (AD) is a health apprehension of significant proportions that is negatively impacting the ageing population globally. It is characterized by neuronal loss and the formation of structures such as neurofibrillary tangles and amyloid plaques in the early as well as later stages of t...

Full description

Bibliographic Details
Main Authors: Ahsan Bin Tufail, Nazish Anwar, Mohamed Tahar Ben Othman, Inam Ullah, Rehan Ali Khan, Yong-Kui Ma, Deepak Adhikari, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Alzheimer’s disease
binary classification
multiclass classification
statistical evaluation
positron emission tomography
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/12/4609

Internet

https://www.mdpi.com/1424-8220/22/12/4609

Similar Items