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A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction.
Çagatay Berke Erdas
Emre Sümer
Published in:
PeerJ Comput. Sci. (2023)
Keyphrases
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fully automated
deep learning
outbreak detection
disease progression
fully automatic
unsupervised learning
machine learning
mental models
unsupervised feature learning
object detection
weakly supervised
early diagnosis
deep architectures
clinical trials
higher order
active learning
computer vision