Deep Learning-based Early Parkinson’s Disease Detection from Brain MRI Image

Author:

Sangeetha S.1,Baskar K.2,Kalaivaani P.C.D3,Kumaravel T.3

Affiliation:

1. Kongunadu College Of Engineering and Technology,Department of Information Technology,Trichy,Tamil Nadu,India

2. Kongunadu College Of Engineering and Technology,Department of Artificial Intelligence and Data Science,Trichy,Tamil Nadu,India

3. Kongu Engineering College,Department of Computer Science and Engineering,Perundurai,Tamil Nadu,India

Publisher

IEEE

Reference23 articles.

1. Computer aided analysis of cognitive disorder in patients with Parkinsonism using machine learning method with multilevel ROI based features;bo;Image and Signal Processing BioMedical Engineering and Informatics (CISP-BMEI) International Congress on IEEE,2016

2. Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes

3. Development of Deep Learning Technique of Features for the Analysis of Clinical Images Integrated with CANN

4. Artificial neural network classifier for the diagnosis of Parkinson’s disease using [99mTc] TRODAT-1 and SPECT;on;Physics in Medicine and Biology,2006

5. Graph theory based spectral feature selection for computer aided diagnosis of Parkinson’s disease using T1weighted MRI;bharti;International Journal of Imaging Systems and Technology,2015

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2. An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using Explainable 2D Convolutional Neural Networks;Digital Signal Processing;2024-02

3. Parkinson Disease Detection on MRI Images using Image Processing;International Journal of Advanced Research in Science, Communication and Technology;2023-11-30

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