Machine learning approaches in medical image analysis: from detection to diagnosis

Research output: Contribution to journalEditorialResearchpeer-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.

Original languageEnglish
JournalMedical Image Analysis
Pages (from-to)94-97
Number of pages4
Publication statusPublished - 2016

    Research areas

  • Classification, Computer aided diagnosis, Machine learning, Transfer learning

ID: 167098898