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.
Original language | English |
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Journal | Medical Image Analysis |
Volume | 33 |
Pages (from-to) | 94-97 |
Number of pages | 4 |
ISSN | 1361-8415 |
DOIs | |
Publication status | Published - 2016 |
- Classification, Computer aided diagnosis, Machine learning, Transfer learning
Research areas
ID: 167098898