A Novel Deep Dense Block-Based Model for Detecting Alzheimer’s Disease

A Novel Deep Dense Block-Based Model for Detecting Alzheimer’s Disease

Alzheimer’s disease (AD), the most common form of dementia and neurological disorder, affects a significant number of elderly people worldwide. The main objective of this study was to develop an effective method for quickly diagnosing healthy individuals (CN) before they progress to mild cognitive i...

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Bibliographic Details
Main Authors:	Selahattin Barış Çelebi, Bülent Gürsel Emiroğlu
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Applied Sciences
Subjects:	Alzheimer’s disease transfer learning image classification deep learning tensor-based morphometry
Online Access:	https://www.mdpi.com/2076-3417/13/15/8686

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