2016-10-01
Machine learning approaches in medical image analysis: From detection to diagnosis
Publication
Publication
Medical Image Analysis , Volume 33 p. 94- 97
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.
| Additional Metadata | |
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| doi.org/10.1016/j.media.2016.06.032, hdl.handle.net/1765/93845 | |
| Medical Image Analysis | |
| Organisation | Erasmus MC: University Medical Center Rotterdam |
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de Bruijne, M. (2016). Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Analysis, 33, 94–97. doi:10.1016/j.media.2016.06.032 |
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