Efficient Feature Extraction for Classification of Alzheimer's Abnormalities Using Deep Learning-Reference-Cited by-同舟云学术

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Efficient Feature Extraction for Classification of Alzheimer's Abnormalities Using Deep Learning

Published:2024-05-24 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 5th International Conference for Emerging Technology (INCET)
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Author:

Zope Minal A.¹,Deshmukh Rakesh K.²,Pise Priya³,Bhopale Shrikant D.⁴

Affiliation:

1. AISSMS's Institute of Information Technology, Kalinga University Raipur,Dept. of Computer Engineering,Pune,India

2. Kalinga University,Raipur,India

3. Artificial Intelligence and Data Science, Indira College of Engineering and Management,Pune,India

4. Dr. D. Y. Patil Pratisthan's Colleg of Engineering, Salokhenagar,Kolhapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592862/10592849/10592896.pdf?arnumber=10592896

Reference27 articles.

1. Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

2. An Efficient Deep Neural Network Binary Classifier for Alzheimer’s Disease Classification

3. Deep Learning Approach for Early Detection of Alzheimer’s Disease

4. Design of Quantum Communication Protocols in Quantum Cryptography;Alhayani,2023

5. LCIPA: Lightweight clustering protocol for industry 4.0 enabled precision agriculture

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