A survey on various Alzheimer classification techniques using 3D MRI images: a challenging overview

Neethu Mecheri and Roopa Jayasingh Jayasingh

International Journal of Information and Decision Sciences, 2025, vol. 17, issue 2, 220-236

Abstract: This survey presents 50 research papers focussed on various techniques in Alzheimer classification techniques using 3D MRI images, and the categorisation of the techniques is made based on the fusion-based, convolutional neural network (CNN)-based, random forest (RF)-based and support vector machine (SVM)-based approaches. Finally, the analysis is to be promoted in the survey based on the research technique, publication year, employed tools, utilised dataset, performance measures and achievement of the research methodologies towards Alzheimer classification techniques using 3D MRI images. At the end, the research gaps and issues of the techniques for Alzheimer classification techniques using 3D MRI images is to be revealed.

Keywords: Alzheimer classification; convolutional neural network; CNN; random forest; support vector machine; SVM; fusion. (search for similar items in EconPapers)
Date: 2025
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