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Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms
Joint Authors
Ledesma-Orozco, Sergio Eduardo
Almanza-Ojeda, Dora L.
Cruz-Bernal, Alejandra
Flores-Barranco, Martha M.
Ibarra-Manzano, M. A.
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In mammograms, a calcification is represented as small but brilliant white region of the digital image.
Earlier detection of malignant calcifications in patients provides high expectation of surviving to this disease.
Nevertheless, white regions are difficult to see by visual inspection because a mammogram is a gray-scale image of the breast.
To help radiologists in detecting abnormal calcification, computer-inspection methods of mammograms have been proposed; however, it remains an open important issue.
In this context, we propose a strategy for detecting calcifications in mammograms based on the analysis of the cluster prominence (cp) feature histogram.
The highest frequencies of the cp histogram describe the calcifications on the mammography.
Therefore, we obtain a function that models the behaviour of the cp histogram using the Vandermonde interpolation twice.
The first interpolation yields a global representation, and the second models the highest frequencies of the histogram.
A weak classifier is used for obtaining a final classification of the mammography, that is, with or without calcifications.
Experimental results are compared with real DICOM images and their corresponding diagnosis provided by expert radiologists, showing that the cp feature is highly discriminative.
American Psychological Association (APA)
Cruz-Bernal, Alejandra& Flores-Barranco, Martha M.& Almanza-Ojeda, Dora L.& Ledesma-Orozco, Sergio Eduardo& Ibarra-Manzano, M. A.. 2018. Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187082
Modern Language Association (MLA)
Cruz-Bernal, Alejandra…[et al.]. Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms. Journal of Healthcare Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1187082
American Medical Association (AMA)
Cruz-Bernal, Alejandra& Flores-Barranco, Martha M.& Almanza-Ojeda, Dora L.& Ledesma-Orozco, Sergio Eduardo& Ibarra-Manzano, M. A.. Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187082
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187082