Machine learning approaches in medical image analysis: from detection to diagnosis
Publikation: Bidrag til tidsskrift › Leder › Forskning › fagfællebedømt
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.
|Tidsskrift||Medical Image Analysis|
|Status||Udgivet - 2016|