Abstract
This chapter discusses pattern classification of high dimensional medical datasets of breast, brain, and retinal tissue on the basis of their extracted features. The extracted features can show linear or non-linear separability, furthermore, they may also be multi-modal or highly correlated. Different algorithms that can be used to generate decision boundaries associated with the observed features are considered.
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© 2017 Springer International Publishing AG
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Yin, XX., Hadjiloucas, S., Zhang, Y. (2017). Pattern Classification. In: Pattern Classification of Medical Images: Computer Aided Diagnosis. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-57027-3_4
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DOI: https://doi.org/10.1007/978-3-319-57027-3_4
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57026-6
Online ISBN: 978-3-319-57027-3
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