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.
CITATION STYLE
de Bruijne, M. (2016, October 1). Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Analysis. Elsevier B.V. https://doi.org/10.1016/j.media.2016.06.032
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