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Combined Method of Classifying Objects in Mammographic Images


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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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