A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means

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A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means

Previously, a semi-manual method was used to identify six novel and clinically useful classes in the Nottingham Tenovus Breast Cancer dataset. 663 out of 1,076 patients were classified. The objectives of our work is three folds. Firstly, our primary objective is to use one single automatic method (p...

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Bibliographic Details
Main Authors:	Lai, Daphne Teck Ching, Garibaldi, Jonathan M., Soria, Daniele, Roadknight, Christopher M.
Format:	Article
Published:	Springer Verlag 2014
Subjects:	Breast cancer Fuzzy clustering Molecular classification
Online Access:	https://eprints.nottingham.ac.uk/28154/

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