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dc.contributor.advisorFutsæther, Cecilia Marie
dc.contributor.advisorTomic, Oliver
dc.contributor.authorAlbuni, Ahmed
dc.date.accessioned2021-01-05T10:54:55Z
dc.date.available2021-01-05T10:54:55Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/11250/2721430
dc.description.abstractThe goal of this thesis is to implement an easy to use, user-friendly application to help researchers in the field of radiomics and image processing to extract radiomics features. The application also includes an easy way to test various feature selection methods and multiple machine learning algorithms.en_US
dc.language.isoengen_US
dc.publisherNorwegian University of Life Sciences, Åsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDevelopment of a user-friendly radiomics frameworken_US
dc.typeMaster thesisen_US


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