title: Machine learning for medical images analysis.
abstract: 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.
authors.affiliation: Microsoft Corporation, United Kingdom. Electronic address: antcrim@microsoft.com.
authors.forename: A
authors.initials: A
authors.lastname: Criminisi
mesh_terms: D066264:Datasets as Topic; D003663:Decision Trees; D003952:Diagnostic Imaging; D006801:Humans; D000069550:Machine Learning
keywords: Decision forests; Machine learning; Training data