Email this article Combined Method of Classifying Objects in Mammographic Images
- Authors: Batukhtin D.M.1, Romanycheva E.A.1, Sevastyanov V.V.1, Ivanov K.O.1, Furman Y.A.1
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Affiliations:
- Volga State University
- Issue: Vol 50, No 2 (2016)
- Pages: 100-104
- Section: Article
- URL: https://journals.rcsi.science/0006-3398/article/view/234441
- DOI: https://doi.org/10.1007/s10527-016-9597-z
- ID: 234441
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Abstract
The article presents algorithms of diagnosing benign and malignant tumors in X-ray images of mammary glands. The algorithms are based on assessing degree of contour straightness of tumors and comparing the images of both mammary glands of the patient by comparing the appearance of similar regions of mammograms. Performance of the proposed algorithms was assessed on a sample of real mammograms of a group of patients.
About the authors
D. M. Batukhtin
Volga State University
Author for correspondence.
Email: krtmbs@volgatech.net
Russian Federation, Yoshkar-Ola, Mari El Republic
E. A. Romanycheva
Volga State University
Email: krtmbs@volgatech.net
Russian Federation, Yoshkar-Ola, Mari El Republic
V. V. Sevastyanov
Volga State University
Email: krtmbs@volgatech.net
Russian Federation, Yoshkar-Ola, Mari El Republic
K. O. Ivanov
Volga State University
Email: krtmbs@volgatech.net
Russian Federation, Yoshkar-Ola, Mari El Republic
Ya. A. Furman
Volga State University
Email: krtmbs@volgatech.net
Russian Federation, Yoshkar-Ola, Mari El Republic
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