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.
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