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Oliver i Malagelada, Arnau
Freixenet i Bosch, Jordi Zwiggelaar, Reyer |
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2005 | |
A recent trend in digital mammography is computer-aided diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the automatic detection of abnormalities. However, recent studies have shown that their sensitivity is significantly decreased as the density of the breast increases. This dependence is method specific. In this paper we propose a new approach to the classification of mammographic images according to their breast parenchymal density. Our classification uses information extracted from segmentation results and is based on the underlying breast tissue texture. Classification performance was based on a large set of digitised mammograms. Evaluation involves different classifiers and uses a leave-one-out methodology. Results demonstrate the feasibility of estimating breast density using image processing and analysis techniques | |
application/pdf | |
Oliver, A.; Freixenet, J., i Zwiggelaar, R. (2005). Automatic classification of breast density. IEEE International Conference on Image Processing : 2005 : ICIP 2005, 1, 1258-1261. Recuperat 21 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1530291 | |
0-7803-9134-9 | |
http://hdl.handle.net/10256/2374 | |
eng | |
IEEE | |
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2005.1530291 Articles publicats (D-ATC) |
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© IEEE International Conference on Image Processing : 2005 : ICIP 2005, 2005, vol. 2 | |
Tots els drets reservats | |
Diagnòstic per la imatge
Imatgeria mèdica -- Processament Mama -- Radiografia Radiografia mèdica -- Tècniques digitals Breast -- Radiography Diagnostic imaging Imaging systems in medicine Radiography, Medical -- Digital techniques |
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Automatic classification of breast density | |
info:eu-repo/semantics/article | |
DUGiDocs |