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Automatic classification of breast density

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

© IEEE International Conference on Image Processing : 2005 : ICIP 2005, 2005, vol. 2

IEEE

Author: Oliver i Malagelada, Arnau
Freixenet i Bosch, Jordi
Zwiggelaar, Reyer
Date: 2005
Abstract: 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
Format: application/pdf
Citation: 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
ISBN: 0-7803-9134-9
Document access: http://hdl.handle.net/10256/2374
Language: eng
Publisher: IEEE
Collection: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2005.1530291
Articles publicats (D-ATC)
Is part of: © IEEE International Conference on Image Processing : 2005 : ICIP 2005, 2005, vol. 2
Rights: Tots els drets reservats
Subject: 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
Title: Automatic classification of breast density
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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