Advancing Meibography Assessment and Automated Meibomian Gland Detection Using Gray Value Profiles

Advancing Meibography Assessment and Automated Meibomian Gland Detection Using Gray Value Profiles

<b>Objective</b>: This study introduces a novel method for the automated detection and quantification of meibomian gland morphology using gray value distribution profiles. The approach addresses limitations in traditional manual and deep learning-based meibography analysis, which are oft...

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Bibliographic Details
Main Authors: Riccardo Forni, Ida Maruotto, Anna Zanuccoli, Riccardo Nicoletti, Luca Trimigno, Matteo Corbellino, Sònia Travé-Huarte, Giuseppe Giannaccare, Paolo Gargiulo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
gray value analysis
meibography
meibomian glands
dry eye
meibomian gland dysfunction
Online Access:https://www.mdpi.com/2075-4418/15/10/1199
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https://www.mdpi.com/2075-4418/15/10/1199

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