title: Machine learning approaches in medical image analysis: From detection to diagnosis.
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.
authors.affiliation: Biomedical Imaging Group Rotterdam, Departments of Medical Informatics, Radiology & Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, The Netherlands; The Image Section, Department of Computer Science, University of Copenhagen, Denmark. Electronic address: marleen@di.ku.dk.
authors.forename: Marleen
authors.initials: M
authors.lastname: de Bruijne
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D003952:Diagnostic Imaging; D006801:Humans; D000069550:Machine Learning
keywords: Classification; Computer aided diagnosis; Machine learning; Transfer learning