METHODS FOR DETECTING AND SELECTING AREAS ON TEXTURE BIOMEDICAL IMAGES OF BREAST CANCER

METODY WYKRYWANIA I WYRÓŻNIANIA OBSZARÓW W TEKSTUROWANYCH OBRAZACH BIOMEDYCZNYCH RAKA PIERSI
Orazayeva A. Tussupov J. Wójcik W. Pavlov S. Abdikerimova G. Savytska L.
2022 Politechnika Lubelska

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska
2022 #12 Issue 2 69 - 72 pp.

This paper is devoted to topical issues-the development of methods for analyzing texture images of breast cancer. The main problem that is resolved in the article is that the requirements for the results of pre-processing are increasing. As a result of the task, images of magnetic resonance imaging of the breast are considered for image processing using texture image analysis methods. The main goal of the research is the development and implementation of algorithms that allow detecting and isolating a tumor in the breast in women in an image. To solve the problem, textural features, clustering, orthogonal transformations are used. The methods of analysis of texture images of breast cancer, carried out in the article, namely: Hadamard transform, oblique transform, discrete cosine transform, Daubechies transform, Legendre transform, the results of their software implementation on the example of biomedical images of oncological pathologies on the example of breast cancer, it is shown that The most informative for image segmentation is the method based on the Hadamard transform and the method based on the Haar transform. The article presents recommendations for using the results in practice, namely, it is shown that clinically important indicators that make a significant contribution to assessing the degree of pathology and the likelihood of developing diseases, there are other information parameters: diameter, curvature, etc. Therefore, increased requirements for the reliability, accuracy, speed of processing biomedical images.

biomedical image processing , clustering , orthogonal transformations , textural features

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L.N. Gumilyov, Eurasian National University, Nur-Sultan, Kazakhstan
Lublin University of Technology, Lublin, Poland
Vinnytsia National Technical University, Vinnytsia, Ukraine

L.N. Gumilyov
Lublin University of Technology
Vinnytsia National Technical University

10 лет помогаем публиковать статьи Международный издатель

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