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

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Abstract

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
Volume33
Pages (from-to)94-97
Number of pages4
ISSN1361-8415
DOIs
Publication statusPublished - 2016

Keywords

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

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