Focusing on several recent, novel machine learning automatic
algorithms, this reference provides the first source on the use of
machine learning methods in designing computer-aided diagnosis
(CAD) systems. It proposes a framework for CAD problems, presents
the technical issues involved when building classifiers, and
provides the appropriate machine learning techniques to address
these problems. The book also includes results and concrete
examples for different diseases and imaging modalities. It provides
a useful tool for researchers and students in the biomedical
sciences and machine learning as well as for advanced courses on
CAD and/or medical informatics.
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