Topological Data Analysis for Eye Fundus Image Quality Assessment

Topological Data Analysis for Eye Fundus Image Quality Assessment

The objective of this work is to perform image quality assessment (IQA) of eye fundus images in the context of digital fundoscopy with topological data analysis (TDA) and machine learning methods. Eye health remains inaccessible for a large amount of the global population. Digital tools that automiz...

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Bibliographic Details
Main Authors: Gener José Avilés-Rodríguez, Juan Iván Nieto-Hipólito, María de los Ángeles Cosío-León, Gerardo Salvador Romo-Cárdenas, Juan de Dios Sánchez-López, Patricia Radilla-Chávez, Mabel Vázquez-Briseño
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Diagnostics
Subjects:
persistent homology
eye fundus images
topological data analysis
image quality assessment
computational ophthalmology
Online Access:https://www.mdpi.com/2075-4418/11/8/1322

Internet

https://www.mdpi.com/2075-4418/11/8/1322

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