METHODS FOR DETECTING AND SELECTING AREAS ON TEXTURE BIOMEDICAL IMAGES OF BREAST CANCER
Ainur Orazayeva
L.N. Gumilyov Eurasian National University (Kazakhstan)
http://orcid.org/0000-0002-2899-9886
Jamalbek Tussupov
L.N. Gumilyov Eurasian National University (Kazakhstan)
http://orcid.org/0000-0002-9179-0428
Waldemar Wójcik
Lublin University of Technology (Poland)
http://orcid.org/0000-0002-6473-9627
Sergii Pavlov
psv@vntu.edu.uaVinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-0051-5560
Gulzira Abdikerimova
L.N. Gumilyov Eurasian National University (Kazakhstan)
http://orcid.org/0000-0002-4953-0737
Liudmyla Savytska
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0003-1130-2621
Abstract
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.
Keywords:
biomedical image processing, textural features, clustering, orthogonal transformationsReferences
Abdikerimova G. B. et al.: Algorithms and software for the analysis of disordering the structure of cellular walls. Bulletin of the Novosibirsk Computing Center – Series „Сomputer science” 40, 2016, 1–14.
DOI: https://doi.org/10.31144/bncc.cs.2542-1972.2016.n40.p1-14
Google Scholar
Abdikerimova G. B. et al.: Software tools for cell walls segmentation in microphotography. Journal of Theoretical and Applied Information Technology 96, 2018, 4783–4793.
Google Scholar
Ablyazov T., Baizakov N.: Theory and Practice of Territories Spatial Development Based on the Smart City Concept. In: Rudskoi A., Akaev A., Devezas T. (eds): Digital Transformation and the World Economy. Studies on Entrepreneurship, Structural Change and Industrial Dynamics. Springer, Cham 2022 [http://doi.org/10.1007/978-3-030-89832-8_9].
DOI: https://doi.org/10.1007/978-3-030-89832-8_9
Google Scholar
Arazayeva A. R. et al.: Efficiency of Biomedical Breast Cancer Image Processing Using Filters. The National Academy of Sciences of the Republic of Kazakhstan ¬– Physics and Information Technology Series 1(341), 2022, 69–76 [http://doi.org/10.32014/2022.2518-1726.118].
Google Scholar
Bayzakov S., Forrest J. Y.-L., Baizakov N. A.: Modeling the management of the economies of developing countries. Advances in Systems Science and Applications 19 (2), 2019, 101–119 [http://doi.org/10.25728/assa.2019.19.2.673].
Google Scholar
Fu K. S., Mu J. K.: A survey on image segmentation. Pattern Recognition 13(1), 1981, 3–16.
DOI: https://doi.org/10.1016/0031-3203(81)90028-5
Google Scholar
Grady L.: Random walks for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(11), 2006, 1768–1783.
DOI: https://doi.org/10.1109/TPAMI.2006.233
Google Scholar
Karpinski M., Ziubina R., Azatov A., Shaikhanova A., Teliushchenko V., Falat P.,: Information Security Software Using Quality and Reliability Criteria. IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 2020, 1–5 [http://doi.org/10.1109/IDAACS-SWS50031.2020.9297069].
DOI: https://doi.org/10.1109/IDAACS-SWS50031.2020.9297069
Google Scholar
Pavlov S. et al.: System of three-dimensional human face images formation for plastic and reconstructive medicine. In: Arras P., Luengo D. (Eds.): Teaching and subjects on bio-medical engineering Approaches and experiences from the BIOART-project. Acco cv, Leuven 2021, 187–203.
Google Scholar
Rani R.: Performance analysis of different orthogonal transform for image processing application. International Journal of Applied Research 1(12), 2015, 844–847.
Google Scholar
Serik M. , Yerlanova G., Karelkhan N. , Temirbekov N.: The Use of the High-Performance Computing in the Learning Process. International Journal of Emerging Technologies in Learning (iJET) 16(17), 2021, 240–254 [http://doi.org/10.3991/ijet.v16i17.22889].
DOI: https://doi.org/10.3991/ijet.v16i17.22889
Google Scholar
Sidorova V. S.: Hierarchical Cluster Algorithm for Remote Sensing Data of Earth. Pattern Recognition and Image Analysis 22(2), 2012, 373–379.
DOI: https://doi.org/10.1134/S1054661812020149
Google Scholar
Stashkevich A. T. et al.: Differential Mueller-matrix tomography of the polycrystalline structure of biological tissues with different damage durations. Proceedings of SPIE 12040, 2021, 120400G.
DOI: https://doi.org/10.1117/12.2617360
Google Scholar
Stashkevich A. T. et al.: Multiparameter polarization-phase microscopy of optically anisotropic networks of biological crystals. Proceedings of SPIE 12040, 2021, 120400F.
DOI: https://doi.org/10.1117/12.2617359
Google Scholar
Stashkevich A. T. et al.: Spectral polarimetry of laser images of biological fluid layers in the differentiation of necrotic conditions. Proceedings of SPIE 12040, 2021, 120400C.
DOI: https://doi.org/10.1117/12.2613344
Google Scholar
Wang J. Z., Du Y.: Scalable integrated region-based image retrieval using IRM and statistical clustering. Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries 2001, 268–277.
DOI: https://doi.org/10.1145/379437.379679
Google Scholar
Wang J. Z., Li J., Wiederhold G.: SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(9), 2001, 947–963.
DOI: https://doi.org/10.1109/34.955109
Google Scholar
Wójcik W., Pavlov S., Kalimoldayev M.:. Information Technology in Medical Diagnostics II. Taylor & Francis Group, CRC Press, Balkema book, London 2019 [http://doi.org/10.1201/ 9780429057618].
DOI: https://doi.org/10.1201/9780429057618
Google Scholar
Wójcik W., Smolarz A. (ed.): Information Technology in Medical Diagnostics. CRC Press 2017.
DOI: https://doi.org/10.1201/9781315098050
Google Scholar
Zhao F., Nagarathnam M.: 5418 Parallel Computer Architecture and Programming Project Report: Implementation and Comparison of Parallel LZ77 and LZ78 Algorithms. 2021.
Google Scholar
Authors
Ainur OrazayevaL.N. Gumilyov Eurasian National University Kazakhstan
http://orcid.org/0000-0002-2899-9886
Authors
Jamalbek TussupovL.N. Gumilyov Eurasian National University Kazakhstan
http://orcid.org/0000-0002-9179-0428
Authors
Sergii Pavlovpsv@vntu.edu.ua
Vinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-0051-5560
Authors
Gulzira AbdikerimovaL.N. Gumilyov Eurasian National University Kazakhstan
http://orcid.org/0000-0002-4953-0737
Authors
Liudmyla SavytskaVinnytsia National Technical University Ukraine
http://orcid.org/0000-0003-1130-2621
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