Crynodeb
Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.
Iaith wreiddiol | Saesneg |
---|---|
Tudalennau (o-i) | 736-745 |
Nifer y tudalennau | 10 |
Cyfnodolyn | EURASIP Journal of Applied Signal Processing |
Cyfrol | 7 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 24 Gorff 2002 |