A comparative Study on the use of Deep Learning for the Early Detection of Alzheimer's Disease-Reference-Cited by-同舟云学术

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A comparative Study on the use of Deep Learning for the Early Detection of Alzheimer's Disease

Published:2022-01-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference for Advancement in Technology (ICONAT)
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Author:

Borah Asha Rani¹,Subhashini S J¹,Rajesh Gouri¹,Shanbhag Goutam Manjunath¹,G Gautam M.¹

Affiliation:

1. New Horizon College of Engineering,Computer Science and Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9725432/9725433/09725944.pdf?arnumber=9725944

Reference17 articles.

1. Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

2. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

3. Alzheimer’s Diseases Detection by Using Deep Learning Algorithms: A Mini-Review

4. A Novel Approach to Detect Acute Lymphoblastic Leukemia

5. A detailed analysis of the various frequent itemset mining algorithms;uma;Journal of Advanced Research in Dynamical and Control Systems Scopus Article,2020

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