Data Clustering Methods for Recognition of Endoscopic Images in the Problems of Computer Medical Diagnosis

This paper presents the results of the analysis of existing methods for clustering data obtained during endoscopy of a larynx. A modification of the Viola-Jones method for image recognition using the flexible exit criterion is proposed. The Viola-Jones method explores all areas in the image and deci...

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Bibliographic Details
Main Authors: R. V. Kozar, N. S. Konoiko, A. A. Navrotsky
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2023-03-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/3570