Modern Trends in Biomedical Image Analysis System Design

Berezsky, Oleh; Melnyk, Grygoriy; Batko, Yuriy

doi:10.5772/13575

Cited by 3 publications

(3 citation statements)

References 6 publications

(3 reference statements)

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“…Three approaches are used to select micro-objects in automated microscopy systems: manual, automated, and automatic [7]- [8]. Automatic and automated selection is based on the using of digital image segmentation algorithms [9]- [15].…”

Section: Problem Analysismentioning

confidence: 99%

“…The papers [7]- [8] present: -the method of segmentation of color cytological images on the basis of previous markings, which, in contrast to the existing ones, combines several different criteria for assessing the homogeneity of areas; -the method of automatic selection of the algorithm of segmentation of cytological images on the basis of the analysis of criteria of an estimation of homogeneity of areas and the analysis of the histogram of distribution of brightness by means of methods of fuzzy logic. The methods [7]- [8] improved the accuracy of finding micro-objects in the images and provided minimal error in splitting the input image.…”

Section: Problem Analysismentioning

confidence: 99%

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The Comparative Assessment of the Quality of Cytological Drugs Image Processing

2020

IJATCSE

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The features of cytological images during processing by automated microscopy systems are determined. The essence of the known methods of processing of cytological images used in algorithms of automatic selection and transformation of micro-objects on cytological images is briefly stated. The results of cytological image processing by k-means, Prewitt, Sobel, Canny, Hough methods and combinations of these methods are presented. A comparative visual and quantitative assessment of the quality of cytological image processing was performed. Errors of the first and second kind are selected as indicators of quality of cytological drugs image processing.

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Section: Problem Analysismentioning

confidence: 99%

Section: Problem Analysismentioning

confidence: 99%

The Comparative Assessment of the Quality of Cytological Drugs Image Processing

2020

IJATCSE

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“…To date, the scientists have made attempts to generalize conceptual studies of the problem: the application of intellectual information technologies in practical tasks Oleh M. Berezkyi [4], Maksim I. Dli [10], Roman Iu. Golunov [10], Vladimir V. Kruglov [10], Serhiy D. Shtovba [18], F. Wasserman [22], and others, the construction of fuzzy expert systems George F. Luger [13], Serhiy D. Shtovba [18], etc., decision-making in situations for which both fuzzy and stochastic data should be used Aleksei G. Beliakov [3], Olha V. Hlon [7], Volodymyr M. Dubovoy [7], [5], Aleksandr S. Mandel [6] and other national and international scientists.…”

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils

Буяк

Цідило

Репський

et al. 2018

EducDim

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Buyak B.B., Tsidilo I.M., Repskiy V.Í. and Lyalyuk V.P. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowledge, abilities and skills of students. The quality of the system’s operation is determined by the use of various techniques for acquiring knowledge on the basis of which the knowledge base of the neuro-fuzzy system and the combination of the use of fuzzy and stochastic data will be formed.

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Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils

Buyak¹,

Tsidylo²,

Repskyi³

et al. 2018

View full text Add to dashboard Cite

The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowledge, abilities and skills of students. The quality of the system’s operation is determined by the use of various techniques for acquiring knowledge on the basis of which the knowledge base of the neuro-fuzzy system and the combination of the use of fuzzy and stochastic data will be formed.

show abstract

Modern Trends in Biomedical Image Analysis System Design

Cited by 3 publications

References 6 publications

The Comparative Assessment of the Quality of Cytological Drugs Image Processing

The Comparative Assessment of the Quality of Cytological Drugs Image Processing

Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils

Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils

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