Titre
Experiments in Molecular Subtype Recognition Based on Histopathology Images
Type
abstract de conférence/colloque
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Auteur(s)
Budinska, E.
Auteure/Auteur
Bosman, F.
Auteure/Auteur
Popovici, V.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
Titre du livre ou conférence/colloque
IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Adresse
Prague, CZECH REPUBLIC, APR 13-16, 2016
ISBN
9781479923496
Statut éditorial
Publié
Date de publication
2016-04-16
Première page
1168
Dernière page/numéro d’article
1172
Langue
anglais
Résumé
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.
PID Serval
serval:BIB_26FA45F997B5
Date de création
2017-01-11T10:27:46.895Z
Date de création dans IRIS
2025-05-20T19:42:01Z