Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Transactions on Cybernetics(2020)
摘要
As a hot topic in brain disease prognosis, predicting clinical measures of subjects based on brain magnetic resonance imaging (MRI) data helps to assess the stage of pathology and predict future development of the disease. Due to incomplete clinical labels/scores, previous learning-based studies often simply discard subjects without ground-truth scores. This would result in limited training data f...
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关键词
Magnetic resonance imaging,Diseases,Brain modeling,Feature extraction,Training,Deep learning,Prognostics and health management
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