SUPPORT VECTORS MACHINE METHOD ANDITS SOFTWARE IMPLEMENTATION FOR DETECTING CANCER DISEASES

Authors

K. Gorishnia
Kharkiv National University of Radio Electronics, Ukraine
V. Kobziev
Kharkiv National University of Radio Electronics, Ukraine

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.

Author Biographies

K. Gorishnia, Kharkiv National University of Radio Electronics

dept. of Software Engineering

V. Kobziev, Kharkiv National University of Radio Electronics

Scientific Supervisor – Cand. Sc. (Techn.), assoc. prof.


Радіоелектроніка та молодь у XXI столітті. Т. 6 : Конференція "Інформаційні інтелектуальні системи": матеріали 28-го Міжнар. молодіж. форуму, 16–18 квітня 2024 р.

Pages

402-404

Published

December 12, 2024

Details about this monograph

ISBN-13 (15)

978-966-659-396-5