Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks

Author:

Veetil Iswarya Kannoth1,Gopalakrishnan E A1,Sowmya V1,Soman K P1

Affiliation:

1. Centre for Computational Engineering and Networking,Amrita School of Engineering,Coimbatore,Amrita Vishwa Vidyapeetham,India

Funder

Amrita Vishwa Vidyapeetham University

Publisher

IEEE

Reference23 articles.

1. Ensemble of deep transfer learning models for parkinson’s disease classification;kiranbabu;Soft Computing and Signal Processing Proceedings of 3rd ICSCSP 2020,0

2. End-to-end parkinson disease diagnosis using brain mr-images by 3d-cnn;esmaeilzadeh;arXiv preprint arXiv 1806 05233,2018

3. Complex networks reveal early MRI markers of Parkinson’s disease

4. Deep learning based approach for parkinson’s disease detection using region of interest;yamini;Intelligent Sustainable Systems Proceedings of ICISS 2021,0

5. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

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2. Parkinson's Disease Severity Assessment: A Comparative Study & Interpretability Analysis;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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4. Combining convolution neural networks with long‐short term memory layers to predict Parkinson's disease progression;International Transactions in Operational Research;2024-05-09

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