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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Texture-based analysis of clustered microcalcifications detected on mammograms
Digital Signal Processing: A Review Journal, Volume 22, No. 1, Year 2012
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Description
The need for early detection of breast cancer has led to establishing screening programs that generate large volumes of mammograms to be analyzed. These analysis are time consuming and labor intensive. Computerized analysis of mammograms has been suggested as "second opinion" or "pre-reader". In this paper, we suggest a texture-based computerized analysis clusters of microcalcifications detected on mammograms in order to classify them into benign and malignant types. The test of the proposed system yielded a sensitivity of 100%, a specificity of 87.77% and a good classification rate of 89%; the area under the fitted ROC-curve using the MedCalc Statistical Software was 0.968. © 2011 Elsevier Inc. All Rights Reserved.
Authors & Co-Authors
Tiedeu, Alain
Cameroon, Yaounde
Ecole National Superieure Polytechnique Cameroon
Italy, Trieste
Abdus Salam International Centre for Theoretical Physics
Daul, Christian
France, Vandoeouvre-les-nancy
Cran Centre de Recherche en Automatique de Nancy
Kentsop, Aude D.
Cameroon, Yaounde
Ecole National Superieure Polytechnique Cameroon
Graebling, Pierre
France, Illkirch-graffenstaden
Laboratoire Des Sciences de L'ingénieur, de L'informatique et de L'imagerie
Wolf, Didier
France, Vandoeouvre-les-nancy
Cran Centre de Recherche en Automatique de Nancy
Statistics
Citations: 43
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1016/j.dsp.2011.09.004
ISSN:
10512004
Research Areas
Cancer