Automated Quality Assurance Applied to Mammographic Imaging

Automated Quality Assurance Applied to Mammographic Imaging

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 ma...

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Bibliographic Details
Main Authors: Anne Davis, Lilian Blot, Mike Holubinka, Robert Martí, Reyer Zwiggelaar
Format: Article
Language:English
Published: SpringerOpen 2002-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
automatic quality control
mammographic images
grey-level co-occurrence matrices
image segmentation.
Online Access:http://dx.doi.org/10.1155/S1110865702203029

Internet

http://dx.doi.org/10.1155/S1110865702203029

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