Is tumor heterogeneity quantified by 3D texture analysis of MRI able to predict non-response to NAC in breast cancer ?
2016
Einzelheiten
Titel
Is tumor heterogeneity quantified by 3D texture analysis of MRI able to predict non-response to NAC in breast cancer ?
Autor(en)/ in(nen)
Michoux, Nicolas (Brussels, Belgium, Université Catholique de Louvain - Cliniques Universitaires Saint-Luc, Radiology Department)
Bollondi, Laurent (Geneva, Switzerland,Hôpitaux Universitaires de Genève, Department of Radiology and Medical Informatics)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
Fellah, Latifa (Brussels, Belgium, Université Catholique de Louvain - Cliniques Universitaires Saint-Luc, Radiology Department)
Leconte, Isabelle (Brussels, Belgium, Université Catholique de Louvain - Cliniques Universitaires Saint-Luc, Radiology Department)
Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
Bollondi, Laurent (Geneva, Switzerland,Hôpitaux Universitaires de Genève, Department of Radiology and Medical Informatics)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
Fellah, Latifa (Brussels, Belgium, Université Catholique de Louvain - Cliniques Universitaires Saint-Luc, Radiology Department)
Leconte, Isabelle (Brussels, Belgium, Université Catholique de Louvain - Cliniques Universitaires Saint-Luc, Radiology Department)
Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
Datum
2016-09
Veröffentlich in
Proceedings of the ESMRMB 2016, 33rd Annual Scientific Meeting
Verlag
Vienna, Austria, 29 September - 01 October 2016
Umfang
2 p.
Vorgestellt auf
ESMRMB 2016, 33rd Annual Scientific Meeting, Vienna, Austria, 29/09/2016 / 01/10/2016
Papiertyp
short paper
Domaine
Economie et Services
Ecole
HEG-VS
Institut
Institut Informatique de gestion
Das Dokument erscheint in
Konferenzmaterialien
Global
Global