Open AccessCreation of the automatic machine of the cell pathology recognizer
Author(s) -
С. Н. Костарев,
Т. Г. Середа,
Н. А. Татарникова,
O. V. Kochetova
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/421/4/042003
Subject(s) - computer science , reliability (semiconductor) , identification (biology) , artificial intelligence , pathological , pathology , table (database) , logical data model , basis (linear algebra) , medicine , data mining , mathematics , biology , software engineering , power (physics) , botany , physics , geometry , quantum mechanics , data modeling
The histology is carried out for studying of fabrics of different bodies and systems. The histologic research helps to define existence of pathological cells and new growths with high precision. Modern examinations of an organism are conducted in the different ways: surveys, analyses, ultrasonography, but not always these methods allow to make precisely the diagnosis or to find pathological processes at the cellular level. This method is often applied in various fields of medicine and veterinary science. We conducted pilot laboratory studies patholologically of the changed cells with use of a technique of the histologic analysis. Qualitative and quantitative characteristics pathologists of the changed cells, with identification of indicators are defined. The module of support of decision-making for the preliminary diagnosis of pathologies is developed. The table of the validity of communication of indicators and group of pathologies is developed. With use of the theory of finite-state machines minimization of disjunctive normal form is carried out. On the basis of the received logical equations ladder charts for programming of logical matrixes of the microcontroller of OMRON are constructed. Experiments on reliability of results of the automatic machine - the recognizer of pathology of cells, the shown satisfactory results are made.