Wavelet Techniques in Medical Imaging: Classification of UltraSound Images using the Windowed Scattering Transform

dc.contributor.advisor	Lyubarskii, Yurii	nb_NO
dc.contributor.advisor	Christensen, Ole	nb_NO
dc.contributor.advisor	Nes, Preben Gråberg	nb_NO
dc.contributor.author	Finsberg, Henrik Nicolay	nb_NO
dc.date.accessioned	2014-12-19T14:00:32Z
dc.date.available	2014-12-19T14:00:32Z
dc.date.created	2014-07-08	nb_NO
dc.date.issued	2014	nb_NO
dc.identifier	733307	nb_NO
dc.identifier	ntnudaim:11975	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/259333
dc.description.abstract	In this thesis we will study wavelet techniques for image classification in ultrasound(US) images. The aim is to develop a method for classifying the degree of inflammation in finger-joints.We develop and apply the techniques of the windowed scattering transform. This is a wavelet-based technique which is proven to be very efficient in image classification problems. Both theoretical and numerical sides have been considered. We also discuss other possible techniques for classification of US images, in particular a method based on the area of inflammation.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for matematiske fag	nb_NO
dc.title	Wavelet Techniques in Medical Imaging: Classification of UltraSound Images using the Windowed Scattering Transform	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	111	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fag	nb_NO