Аналіз зображень очного дна на основі машинного навчання

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

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Bibliographic Details
Date:2024
Main Authors: Карась, О.В., Тимчик, С.В., Салдан, Ю.Й., Моминжанова, Кимбат, Мойсеєв, Д.К.
Format: Article
Language:Ukrainian
Published: Vinnytsia National Technical University 2024
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Online Access:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/711
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Journal Title:Optoelectronic Information-Power Technologies

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Optoelectronic Information-Power Technologies