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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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