The article examines the regulatory mechanisms of liver cells (LC) - hepatocytes and hepatitis B virus (HBV) based on the regulatory of living systems using functional-differential equations with delayed arguments. Qu...
详细信息
This article, a morphological image processing algorithm is developed for early detection of viral hepatitis from microscopic blood images. It is mentioned that it can be used to accurately determine each boundary det...
详细信息
The article examines the regulatory mechanisms of liver cells (LC) - hepatocytes and hepatitis B virus (HBV) based on the regulatory of living systems using functional-differential equations with delayed arguments. Qu...
详细信息
ISBN:
(数字)9798350389234
ISBN:
(纸本)9798350353051
The article examines the regulatory mechanisms of liver cells (LC) - hepatocytes and hepatitis B virus (HBV) based on the regulatory of living systems using functional-differential equations with delayed arguments. Quantitative studies of the LC-HBV system have shown the possibility of the following scenarios for the integration of their genetic systems: suppression of virus activity by hepatocytes; suppression of hepatocyte activity by the virus; symbiotic coexistence of hepatocyte and virus; periodic excitation of viral damage to the hepatocyte; chaotic interaction of molecular genetic systems of LC and HBV, at the same time, “black hole” which is considered one of the most dangerous modes. To analyze the effectiveness of the developed functional-differential equations with delayed arguments, qualitative analysis methods, construction of phase and parametric portraits, methods of determining the location and dynamics of sources, and the technique of constructing a Lamerey diagram on a computer were used. However, this research work presents a mathematical model of the regulatory of the occurrence, development and various ways of progression of HBV in liver cells (hepatocytes).
This article, a morphological image processing algorithm is developed for early detection of viral hepatitis from microscopic blood images. It is mentioned that it can be used to accurately determine each boundary det...
详细信息
ISBN:
(数字)9798350389234
ISBN:
(纸本)9798350353051
This article, a morphological image processing algorithm is developed for early detection of viral hepatitis from microscopic blood images. It is mentioned that it can be used to accurately determine each boundary detail in the fuzzy morphological processing of the gray image of the blood image. Boundary detection leads to higher recognition results in neural network training. Compared to the work of a number of scholars, our method offers such performance, but it offers improved dynamics and flexibility in the formulation of linguistic boundary criteria, which can be a leading factor in the design of image processing systems with dynamic and flexible rules, such as Type 2 allows fuzzy rules, which offers an interesting alternative to currently common deep learning applications. The validated experimental results show the reliability of the modified method compared to the Chaira method. Mean, entropy and standard deviation were calculated. It turned out to be higher than the values of the Chaira method.
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