Machine learning approaches in medical image analysis: from detection to diagnosis
Research output: Contribution to journal › Editorial › peer-review
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.
|Journal||Medical Image Analysis|
|Number of pages||4|
|Publication status||Published - 2016|
- Classification, Computer aided diagnosis, Machine learning, Transfer learning