Support vectors machine method andits software implementation for detecting cancer diseases

Gorishnia, K. O.

Публікація:
Support vectors machine method andits software implementation for detecting cancer diseases

dc.contributor.author	Gorishnia, K. O.
dc.date.accessioned	2024-08-26T14:58:12Z
dc.date.available	2024-08-26T14:58:12Z
dc.date.issued	2024
dc.description.abstract	The application of the method of support vectors for the classification of cells on tomographic images of human organs with signs of oncological diseases is considered. The equation of the dividing hyperplane and the width of the border between two reference vectors, which allow classification of cells into three groups corresponding to different types of diagnosis, including in the early stages of the disease, are given. The Soft Margin SVM was chosen for the software implementation of the considered method.
dc.identifier.citation	Gorishnia K. O. Support vectors machine method andits software implementation for detecting cancer diseases / K. O. Gorishnia, Scientific Supervisor Cand. Sc. (Techn.), assoc. prof. V. G. Kobziev // Радіоелектроніка та молодь у XXI столітті : матеріали 28-го Міжнар. молодіж. форуму, 16–18 квітня 2024 р. – Харків : ХНУРЕ, 2024. – Т. 6 – С. 402-404. – DOI : https://doi.org/10.30837/IYF.IIS.2024.402.
dc.identifier.doi	https://doi.org/10.30837/IYF.IIS.2024.402
dc.identifier.uri	https://openarchive.nure.ua/handle/document/28140
dc.language.iso	en
dc.publisher	ХНУРЕ
dc.subject	support vectors
dc.subject	cancer diseases
dc.title	Support vectors machine method andits software implementation for detecting cancer diseases
dc.type	Thesis
dspace.entity.type	Publication