Journal
MEDICAL IMAGE ANALYSIS
Volume 33, Issue -, Pages 91-93Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.media.2016.06.002
Keywords
Machine learning; Decision forests; Training data
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This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorithms, and (ii) We discuss how the issue of collecting large labelled datasets applies to both conventional algorithms as well as machine learning techniques. The size of the training database is a function of model complexity rather than a characteristic of machine learning methods. Crown Copyright (C) 2016 Published by Elsevier B.V. All rights reserved.
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