Parkinson’s Disease Detection And Classification Of Stages From Drawing Patterns Using Deep Learning

Author:

Karthikeyan B1,Jerolin Futina J B1,Pandia Abinaya P1,Shanmuga Priya R1

Affiliation:

1. Velammal College of Engineering and Technology,Department of Electronics and Communication Engineering,Madurai,India

Publisher

IEEE

Reference20 articles.

1. Chapter 7: Online Handwriting Analysis for the Assessment of Alzheimer’s Disease and Parkinson’s Disease: Overview and Experimental Investigation;impedovo;In Series on Language Processing Pattern Recognition and Intelligent Systems,2019

2. Parkinson’s Disease Detection from Spiral and Wave Drawings using Convolutional Neural Networks: A Multistage Classifier Approach;chakraborty,2020

3. Deep Echo State Networks for Diagnosis of Parkinson’s Disease;gallicchio;arXiv 2018 arXiv 1802 06708,0

4. DeepAD: Alzheimer′s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI;sarraf,0

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1. Chrometect GAYO: Classification and Colorization using PIX2PIX and YOLOV8;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

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