Bionic model of blood cell segmentation based on impulse image transformation

Introduction: The relevance of the proposed topic is determined by the high incidence of hematopoietic system diseases and the lack of a clear understanding at the cytological level of their mechanisms and correction methods. The purpose of the article is to create images of blood cells using mathematical modelling. Materials and Methods: To achieve the defined goal, fundamental research methods were utilized, among which the method of mathematical modelling played a significant role, employed in creating a bionic model of blood cells. Results: The results of this study have indicated that the task of recognizing blood cells in complex images poses a significant challenge in the field of medicine. Such tasks are complicated by the transparency of cells compared to the buffer solution, uneven thickness of the blood smear, and varying staining of the smear. Therefore, there is a need to improve the segmentation algorithm of the bionic model and develop new, more efficient methods and models for image recognition. The algorithm for constructing the bionic model segmentation consists of four main steps. Conclusion: The practical significance of this research lies in the possibility of using the obtained results in the further development of clinical correction and treatment methods for diseases such as anaemia, thrombocytopenia, and neoplastic processes.

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Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).