An Automated Grading System Based on Topological Features for the Evaluation of Corneal Fluorescein Staining in Dry Eye Disease

An Automated Grading System Based on Topological Features for the Evaluation of Corneal Fluorescein Staining in Dry Eye Disease

Background: Corneal fluorescein staining is a key biomarker in evaluating dry eye disease. However, subjective scales of corneal fluorescein staining are lacking in consistency and increase the difficulties of an accurate diagnosis for clinicians. This study aimed to propose an automatic machine lea...

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Bibliographic Details
Main Authors:	Jun Feng, Zi-Kai Ren, Kai-Ni Wang, Hao Guo, Yi-Ran Hao, Yuan-Chao Shu, Lei Tian, Guang-Quan Zhou, Ying Jie
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Diagnostics
Subjects:	dry-eye disease corneal fluorescein staining topological features machine learning
Online Access:	https://www.mdpi.com/2075-4418/13/23/3533

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