Dipartimento d'Ingegneria

Thursday, 12 February 2015 10:12

Image features based on visual perception for discriminating between tumour epithelium and stroma

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The tumour-stroma ratio (TSR) is an independent prognostic factor in a wide number of oncologic diseases. Accurate and reproducible estimation of TSR therefore plays a central role in patient stratification and follow-up. The use of features directly related to human perception makes it possible to evaluate the tissue's appearance on the basis of a set of meaningful parameters. In this work we proposed and evaluated the capability of the following five visual features to correctly discriminate epithelium from stroma in digitised tissue micro-arrays of colorectal cancer: coarseness, contrast, directionality, line-likeliness and roughness. The experiments demonstrated that the proposed approach can correctly discriminate epithelium from stroma with state-of-the-art accuracy.



F Bianconi, A. Álvarez-Larrán and A. Fernández, Discrimination between tumour epithelium and stroma via perception-based features, Neurocomputing, 154:119-126,2015.
Read 27057 times Last modified on Thursday, 12 February 2015 10:49

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