Work

Analysis of fundus images based on machine learning

Year: 2024

Type: article

Abstract: In this work, a system for analyzing images of the fundus based on machine learning was developed. Extensive image pre-processing including adaptive binarization, CLAHE contrast enhancement, and morphological operations were used to improve the classification quality

Source: Optoelectronic Information-Power Technologies

DOI: 10.31649/1681-7893-2024-47-1-140-147

Authors: O.V. Karas, S.V. Tymchyk, Yu.Yo. Saldan, Kymbat Momynzhanova, D.K. Moiseev

Institutions: Vinnytsia National Technical University, National Pirogov Memorial Medical University, Vinnytsya, Al-Farabi Kazakh National University

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: diamond

OpenAlex ID: W4400828311

FWCI: 0.404

Cites: 1

Cited by: 2

Related to: 10