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Detection of Microcalcifications on Mammograms

Detection of Microcalcifications on Mammograms

Rachida Touami, Karima KIES, Nacéra Benamrane
Copyright: © 2020 |Volume: 12 |Issue: 1 |Pages: 12
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781799806097|DOI: 10.4018/IJSSCI.2020010105
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MLA

Touami, Rachida, et al. "Detection of Microcalcifications on Mammograms." IJSSCI vol.12, no.1 2020: pp.68-79. http://doi.org/10.4018/IJSSCI.2020010105

APA

Touami, R., Karima KIES, & Benamrane, N. (2020). Detection of Microcalcifications on Mammograms. International Journal of Software Science and Computational Intelligence (IJSSCI), 12(1), 68-79. http://doi.org/10.4018/IJSSCI.2020010105

Chicago

Touami, Rachida, Karima KIES, and Nacéra Benamrane. "Detection of Microcalcifications on Mammograms," International Journal of Software Science and Computational Intelligence (IJSSCI) 12, no.1: 68-79. http://doi.org/10.4018/IJSSCI.2020010105

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Abstract

Breast cancer is a common disease of women. The number of new cases diagnosed in Algeria is increasingly high and it is the first cause of cancer related deaths for women. The microcalcifications are considered the primary sign of breast cancer. The early detection of these allows doctors to take the necessary measures for the treatment of this pathology. Medical imaging has made possible enormous progress in the field of diagnosis and provides an important contribution to the care of patients. This article proposes an approach for the segmentation and detection of microcalcifications in mammographic images based on wavelets, K- means, and the windows of Parzen, in order to detect the presence of breast cancer as early as possible and to avoid radical treatment such as the removal of the breast.

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