A Deep Learning-based Semi-Supervised GAN to detect Alzheimer's illness efficiently

Author:

Saravanakumar S.1,Saravanan T.1,Thillaiarasu N.2

Affiliation:

1. St. Martin's Engineering College,Department of CSE,Secunderabad,India

2. School of Computing and Information Technology, Reva University,Bengaluru,India

Publisher

IEEE

Reference17 articles.

1. Privacy Preserving using Enhanced Shadow Honeypot technique for Data Retrieval in Cloud Computing

2. Denoising of MRI Images Using Curvelet Transform

3. designed a novel method known as pixel-based assessment that comprehensively explored the variations among the voxels, estimate the axonal losses due to Alzheimer's disease and mild cognitive impairment;mito;The authors hypothesized that patients with Alzheimer's disease would display comprehensive functional degeneration,2018

4. Automatic tissue image segmentation based on image processing and deep learning;kong;Neural Imaging and Sensing 2018,2019

5. Detection of Alzheimers Disease from MRI using Convolutional Neural Network with Tensorflow;awate;ArXiv Preprint,2018

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1. Classification of Alzheimer’s Disease with Generated MRI Images using Randomized CNN;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

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5. Alzheimer Detection Using CNN and GAN Augmentation;2023 World Conference on Communication & Computing (WCONF);2023-07-14

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