Parkinson's Disease Diagnosis: A Deep Learning Approach Using CNN AlexNet and MR Scans-Reference-Cited by-同舟云学术

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Parkinson's Disease Diagnosis: A Deep Learning Approach Using CNN AlexNet and MR Scans

Published:2024-05-16 Issue: Volume:10 Page:1-5
ISSN:
Container-title:2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
language:
Short-container-title:

Author:

S. Priya¹,V.S. Jayanthi²

Affiliation:

1. Rajagiri School of Engineering and Technology (Autonomous), Parent university APJ Abdul Kalam KTU,Department of Applied Electronics & Instrumentation,Kerala

2. Rajagiri School of Engineering and Technology (Autonomous), Parent university APJ Abdul Kalam KTU,Department of Electronics & Communication,Kerala

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582048/10582049/10582067.pdf?arnumber=10582067

Reference9 articles.

1. Diagnostic Criteria for Parkinson’s Disease: From James Parkinson to the Concept of Prodromal Disease

2. MRI-based Parkinsons disease classification using feature selection and classification algorithms;Naroji;Informatics in Medicine Unlocked,2018

3. Deep learning-based classification of early Parkinsons disease with multi-modal neuroimaging data;Schlemper;NeuroImage,2019

4. Automatic diagnosis of early Parkinsons disease from resting-state functional MRI;Engels;Parkinsonism & Related Disorders,2016

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