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Total number
Full text
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0223U000145,
0117U006934
,
Methods and models for identifying the states of biological objects
Nastenko Yevhen A.,
03-01-2023
Public organization organization of veterans and graduates of the Institute of Energy Conservation and Energy Management of the National Technical University of Ukraine "Kyiv Polytechnic Institute named after Igor Sikorsky"
The report contains 3 sections, 74 pages, 30 figures, 6 tables, 89 references, Appendix №1. Keywords: modeling, texture analysis, Random Forest, self-organized forest, convolutional network, class-oriented feature selection, medical images. Relevance of the topic: the work presents the results of research solving the problems of improving the quality of identification models of the states of biological objects, which are the basis of systems of automated diagnosis of patients from medical images (CT, MRI, and ultrasound) of the affected organs. The purpose of the projects "Methods and models for identification of the states of biological objects" is to develop new effective approaches for solving urgent problems of automated diagnostics in the class of medical problems "normal-pathology", differentiation of diseases similar in clinical manifestations, the problem of evaluation of the patient's state. Development projects are based on research and new results in the field of texture analysis, algorithms for constructing classifiers in the Random Forest class, modeling hybrid classifiers based on convolutional networks and self-organized forests, technology of class-oriented selection in the tasks of classification with a super large number of features. The obtained results made it possible to effectively solve the problems of automated diagnosis by ultrasound images of the normal-pathology state in diffuse liver diseases and coronary heart disease, diagnosis and classification of lung lesion types ("ground-glass", "crazypaving", "consolidation") by CT-images in Covid-19 disease, differentiation by CT-images of drug-resistant and drug-sensitive form of tuberculosis. The results of the research were implemented in the State Institution "National Institute of Phthisiology and Pulmonology named after F.G. Yanovskiy of the NAMS of Ukraine, and in the Institute of Nuclear Medicine and Diagnostic Radiology of the NAMS of Ukraine, SI.
Averianova Olga A.
Babenko Vitalii O.
Bovsunoskaja Katerina S.
Horodetska Olena K.
Davydko Oleksandr B.
Kornienko Halyna A.
Matviichuk Oleksandr V.
Nastenko Yevgen A.
Pavlov Volodymyr Anatoliiovych
Serdakovskiy Vitaliy S.
2023-01-03
Updated: 2025-12-27
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