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Machine learning approaches in medical image analysis: From detection to diagnosis
1Biomedical Imaging Group Rotterdam, Departments of Medical Informatics, Radiology & Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, The Netherlands; The Image Section, Department of Computer Science, University of Copenhagen, Denmark.
Abstract:
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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