Automated quality assurance applied to mammographic imaging

Blot, Lilian, Davis, Anne, Holubinka, Mike, Marti, Robert and Zwiggelaar, Reyer (2002) Automated quality assurance applied to mammographic imaging. EURASIP Journal on Applied Signal Processing, 2002. ISSN 1110-8657

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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.

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Depositing User: Vishal Gautam
Date Deposited: 13 Jun 2011 12:54
Last Modified: 25 Jan 2024 01:23
DOI: 10.1155/S1110865702203029

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