Image processing, radiomics and model selection for prediction of treatment outcome of anal cancer using CT-, PET-, and MR-sequences

dc.contributor.advisor	Futsæther, Cecilia Marie
dc.contributor.advisor	Malinen, Eirik
dc.contributor.advisor	Rusten, Espen
dc.contributor.author	Cabrol, Maria Francoise Olaug Odette H.
dc.date.accessioned	2019-10-22T13:08:44Z
dc.date.available	2019-10-22T13:08:44Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/11250/2623765
dc.description.abstract	The goal of this master thesis was to predict treatment outcome of anal cancer using features extracted from medical image sequences. The medical images had beforehand been provided from and registered at the Norwegian Radium Hospital. They consisted of CT,- PET- and MRsequences, in which MR was the modality of interest as former projects at NMBU has involved prediction of treatment outcome using PET- and CT-sequences. The treatment outcome of interest was PFS, Progression-Free Survival.	nb_NO
dc.language.iso	eng	nb_NO
dc.publisher	Norwegian University of Life Sciences, Ås	nb_NO
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no	*
dc.title	Image processing, radiomics and model selection for prediction of treatment outcome of anal cancer using CT-, PET-, and MR-sequences	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	93	nb_NO
dc.description.localcode	M-MF	nb_NO

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal