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...
| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Γλώσσα: | English |
| Έκδοση: |
2022
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| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10889/15833 |
| 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). |
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