Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection

Author:

Shanmugavadivel Kogilavani,Sathishkumar V.E.,Cho Jaehyuk,Subramanian Malliga

Funder

Korea Environmental Industry and Technology Institute

Publisher

Elsevier BV

Subject

Neurology,Molecular Biology,Aging,Biochemistry,Biotechnology

Reference103 articles.

1. Image classification of brain MRI using support vector machine;Abdullah1;IEEE Int. Conf. Imaging Syst. Tech.,2011

2. Multimodal data fusion of deep learning and dynamic functional connectivity features to predict Alzheimer’s disease progression;Abrol,2019

3. Alzheimer’s disease classification using transfer learning;Acharya;ICCMC,2021

4. Multi-classification of alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches;Adeola Ajagbe1;Int. J. Adv. Comput. Res.,2019

5. A data augmentation-based framework to handle class imbalance problem for Alzheimer's stage detection;Afzal;IEEE Access,2019

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