Cargando…
A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images
PURPOSE: To develop a deep learning approach to digitally segmenting meibomian gland atrophy area and computing percent atrophy in meibography images. METHODS: A total of 706 meibography images with corresponding meiboscores were collected and annotated for each one with eyelid and atrophy regions....
Autores principales: | Wang, Jiayun, Yeh, Thao N., Chakraborty, Rudrasis, Yu, Stella X., Lin, Meng C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922272/ https://www.ncbi.nlm.nih.gov/pubmed/31867138 http://dx.doi.org/10.1167/tvst.8.6.37 |
Ejemplares similares
-
A Deep Learning Model for Evaluating Meibomian Glands Morphology from Meibography
por: Wang, Yuexin, et al.
Publicado: (2023) -
Deep learning-based automatic meibomian gland segmentation and morphology assessment in infrared meibography
por: Setu, Md Asif Khan, et al.
Publicado: (2021) -
Risk Factors for Meibomian Gland Disease Assessed by Meibography
por: Kim, Christine K, et al.
Publicado: (2023) -
Predicting demographics from meibography using deep learning
por: Wang, Jiayun, et al.
Publicado: (2022) -
The Role of Meibography in the Diagnosis of Meibomian Gland Dysfunction in Ocular Surface Diseases
por: Robin, Mathieu, et al.
Publicado: (2019)