A compact CNN with Bayesian hyperparameter tuning classifies early Parkinson's disease versus normal on PPMI SPECT images with 99.08% accuracy and flags 76 of 80 SWEDD scans as normal.
Description of Parkinson's disease as a clinical syndrome,
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Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
A compact CNN with Bayesian hyperparameter tuning classifies early Parkinson's disease versus normal on PPMI SPECT images with 99.08% accuracy and flags 76 of 80 SWEDD scans as normal.