A Novel Approach Using Learning Algorithm for Parkinson’s Disease Detection with Handwritten Sketches’-Reference-Cited by-同舟云学术

A Novel Approach Using Learning Algorithm for Parkinson’s Disease Detection with Handwritten Sketches’

Published:2023-01-30 Issue: Volume: Page:1-17
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Shrivastava Anurag¹^ORCID,Chakkaravarthy Midhun²,Asif Shah Mohd³

Affiliation:

1. Department of Electronics and Communication Engineering, Lincoln University College (LUC), Kota Bharu, Kelantan, Malaysia

2. Faculty of Computer Science and Multimedia, Lincoln University College, Kota Bharu, Kelantan, Malaysia

3. ECE, Kebri Dehar University, Somali, Ethiopia

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2157599

Reference20 articles.

1. Almilaji, O. 2022. The importance of identifying iron deficiency anaemia in the early detection of colorectal cancer. PhD diss. Bournemouth University.

2. Fuzzy ensemble of deep learning models using choquet fuzzy integral, coalition game and information theory for breast cancer histology classification

3. Esmaeilzadeh, S., Y. Yang, and E. Adeli. 2018. End-to-end Parkinson disease diagnosis using brain MR-images by 3D-CNN. arXiv Preprint. arXiv:1806.05233.

4. BLeafNet: A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification

5. NoFED-Net: Nonlinear Fuzzy Ensemble of Deep Neural Networks for Human Activity Recognition

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