Medical image classification via sparse representations

In this thesis, we study the problem of recognizing/classifying different body parts from Magnetic Resonance Images (MRI). We follow an approach that utilizes the compressed sensing/sparse representations theory. Our work is based upon a recently proposed image classification method that utilizes...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ελευθερία, Κολοκυθά
Άλλοι συγγραφείς: Eleftheria, Kolokitha
Γλώσσα:English
Έκδοση: 2022
Θέματα:
Διαθέσιμο Online:http://hdl.handle.net/10889/15833
Περιγραφή
Περίληψη:In this thesis, we study the problem of recognizing/classifying different body parts from Magnetic Resonance Images (MRI). We follow an approach that utilizes the compressed sensing/sparse representations theory. Our work is based upon a recently proposed image classification method that utilizes sparse representations for the problem of face recognition. In this thesis, we propose a proper modification of that method that makes it robust against spatial translations (shifts).