Parkinson’s Disease Classification Projects for ME, MTech, Masters, MS abroad, and PhD students. These Parkinson’s Disease Classification ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Parkinson’s Disease Classification Projects
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Identifying Biases in a Multicenter MRI Database for Parkinsons Disease Classification Is the Disease Classifier a Secret Site Classifier
This project studied how a deep learning model for Parkinson's disease might rely on unintended shortcuts in brain MRI data. The researchers tested whether the model's internal features could reveal the patient’s sex, the scanner used, or the hospital the scan came from. They found that the model could predict these factors even though it was only trained to detect Parkinson's. The study shows that such shortcuts can affect the model’s reliability on new data from other centers.
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