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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Verlag
2014
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| Online Access: | http://eprints.nottingham.ac.uk/28154/ http://eprints.nottingham.ac.uk/28154/ http://eprints.nottingham.ac.uk/28154/ http://eprints.nottingham.ac.uk/28154/1/Lai2013.pdf |
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