Machine learning approaches are increasingly successful in image-based diagnosis, disease prognosis, and risk assessment. This paper highlights new research directions and discusses three main challenges related to machine learning in medical imaging: coping with variation in imaging protocols, learning from weak labels, and interpretation and evaluation of results.

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Medical Image Analysis
Department of Medical Informatics

de Bruijne, M. (2016). Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Analysis, 33, 94–97. doi:10.1016/