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@inproceedings{1374296, author = {Budinská, Eva and Bosman, Fred and Popovici, Vlad}, address = {NEW YORK}, booktitle = {2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)}, doi = {http://dx.doi.org/10.1109/ISBI.2016.7493474}, keywords = {colon cancer; histopathology imaging; classification; gastrointestinal tract}, howpublished = {elektronická verze "online"}, language = {eng}, location = {NEW YORK}, isbn = {978-1-4799-2350-2}, pages = {1168-1172}, publisher = {IEEE}, title = {Experiments in Molecular Subtype Recognition Based on Histopathology Images}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7493474}, year = {2016} }
TY - JOUR ID - 1374296 AU - Budinská, Eva - Bosman, Fred - Popovici, Vlad PY - 2016 TI - Experiments in Molecular Subtype Recognition Based on Histopathology Images PB - IEEE CY - NEW YORK SN - 9781479923502 KW - colon cancer KW - histopathology imaging KW - classification KW - gastrointestinal tract UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7493474 L2 - http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7493474 N2 - 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. ER -
BUDINSKÁ, Eva, Fred BOSMAN a Vlad POPOVICI. Experiments in Molecular Subtype Recognition Based on Histopathology Images. Online. In \textit{2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)}. NEW YORK: IEEE, 2016, s.~1168-1172. ISBN~978-1-4799-2350-2. Dostupné z: https://dx.doi.org/10.1109/ISBI.2016.7493474.
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