A subset-search and ranking based feature-selection for histology image classification using global and local quantification

Biopsy remains the gold standard for the diagnosis of chronic liver diseases. However, the variability in the diagnostic between readers leads to define a method to objectively describe histologic tissue. A complete framework has been implemented to analyze images of any tissue. Based on subset sele...

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Bibliographic Details

Published in:	2015 International Conference on Image Processing Theory, Tools and Applications (IPTA) pp. 313 - 318
Main Authors:	Coatelen, J., Albouy-Kissi, A., Albouy-Kissi, B., Coton, J. P., Maunier-Sifre, L., Joubert-Zakeyh, J., Dechelotte, P., Abergel, A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-11-2015
Subjects:	Correlation Electronic mail Feature extraction feature ranking feature selection fibrosis framework Indexes Liver Support vector machines
Online Access:	Get full text
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