Glaucoama diagnosis using machine learning methods
Year: 2024
Type: article
Abstract: The research focuses on the usage of machine learning algorithms in glaucoma diagnostics. The objective is to analyze and compare various machine-learning algorithms by constructing classification systems that verify glaucoma in ICT photos. The study involves extracting features from images, classifying them using these features, and evaluating the effectiveness of methods. This approach provides insights into the creation of an automated glaucoma diagnostic system, contributing to a faster and safer medical process
Source: Bionics of Intelligence
Authors: V. I. Dubrovin, O. V. Petunin
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409341447