Experiments in Molecular Subtype Recognition Based on Histopathology Images

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Authors

BUDINSKÁ Eva BOSMAN Fred POPOVICI Vlad

Year of publication 2016
Type Article in Proceedings
Conference 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
MU Faculty or unit

Faculty of Science

Citation
Web http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7493474
Doi http://dx.doi.org/10.1109/ISBI.2016.7493474
Field Informatics
Keywords colon cancer; histopathology imaging; classification; gastrointestinal tract
Description Molecular subtypes have been recently derived for various types of cancer, in an attempt to characterize the inter-tumoral heterogeneity. In this work we explore the possibility of constructing predictors for molecular subtypes based on histopathology images. For this, we introduce a novel 2-level bag-of-features method and we apply it to a collection of colorectal cancer samples. The resulting image features capture some relevant tumor morphology patterns and led to a classifier performing similarly to one constructed from features annotated by an expert pathologist. The significance of our results extends beyond subtype prediction since they demonstrate a possible approach to multimodal (histopathology and molecular) data mining and biomarker identification.
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