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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2019 - 9

The Detection and Classification of Microcalcifications in the Visibility-Enhanced Mammograms Obtained by using the Pixel Assignment-Based Spatial Filter

HEKIM, M. See more information about HEKIM, M. on SCOPUS See more information about HEKIM, M. on IEEExplore See more information about HEKIM, M. on Web of Science, AYDIN YURDUSEV, A., ORAL, C. See more information about ORAL, C. on SCOPUS See more information about ORAL, C. on SCOPUS See more information about ORAL, C. on Web of Science
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Download PDF pdficon (809 KB) | Citation | Downloads: 311 | Views: 771

Author keywords
biomedical image processing, cancer detection, computer aided diagnosis, mammography, spatial filters

References keywords
mammograms(13), detection(12), microcalcifications(9), microcalcification(8), image(8), system(7), digital(7), breast(7), analysis(7), segmentation(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 73 - 82
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04009
Web of Science Accession Number: 000500274700008
SCOPUS ID: 85077265775

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In this paper, we proposed a computer aided diagnosis (CAD) system which has the pixel assignment-based a spatial filter to enhance the visibility of microcalcifications in mammograms. This filter first sums the absolute values of the differences between the center pixel-of-interest and its 8-neighbors, and then assigns this summed value to that center pixel-of-interest. This process was repeated for each pixel of all images, and the contrast stretching was applied into all obtained images. Then, it was firstly detected by using different classifiers whether is absent/present of microcalcification in the obtained images, and the detected microcalcifications were classified as benign/malignant by using the same classifiers. In order to evaluate the effects of the proposed filter on the detection and classification successes, it was compared to widely used filters. In the implemented experiments, this comparison showed that the proposed filter provided higher contribution to the detection and classification successes than the others, and hence enhanced the visibility of microcalcifications in mammograms. Finally, it can be concluded that the CAD system with the proposed filter can contribute to the development of the state-of-art methodologies and can be used as a diagnostic decision support mechanism in the analysis of mammograms.

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References Weight

Web of Science® Citations for all references: 10,968 TCR
SCOPUS® Citations for all references: 12,721 TCR

Web of Science® Average Citations per reference: 229 ACR
SCOPUS® Average Citations per reference: 265 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

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