相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Morphological characteristics of Meibomian Glands and their Influence on Dry Eye disease in contact lens wearers
Anke von Ahrentschildt et al.
OCULAR SURFACE (2022)
The role of meibography in ocular surface diagnostics: A review
Fredrik Fineide et al.
OCULAR SURFACE (2021)
Relationship between eyelid margin irregularity and meibomian gland dropout
Minji Ha et al.
OCULAR SURFACE (2021)
Deep learning-based automatic meibomian gland segmentation and morphology assessment in infrared meibography
Md Asif Khan Setu et al.
SCIENTIFIC REPORTS (2021)
Comparison of meibomian gland loss area measurements between two computer programs and intra-inter-observer agreement
Manuel Garza-Leon et al.
INTERNATIONAL OPHTHALMOLOGY (2020)
2D fourier transform for global analysis and classification of meibomian gland images
Kamila Ciezar et al.
OCULAR SURFACE (2020)
Association of meibomian gland architecture and body mass index in a pediatric population
Preeya K. Gupta et al.
OCULAR SURFACE (2020)
Association of meibomian gland morphology with symptoms and signs of dry eye disease in the Dry Eye Assessment and Management (DREAM) study
Ebenezer Daniel et al.
OCULAR SURFACE (2020)
A Novel Automated Approach for Infrared-Based Assessment of Meibomian Gland Morphology
Clara Llorens-Quintana et al.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images
Jiayun Wang et al.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2019)
Infrared Video Meibography of Lower Lid Meibomian Glands Shows Easily Distorted Glands: Implications for Longitudinal Assessment of Atrophy or Growth Using Lower Lid Meibography
Steven L. Maskin et al.
CORNEA (2018)
Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy
Romany F. Mansour
BIOMEDICAL ENGINEERING LETTERS (2018)
Morphological Evaluation of Meibomian Glands in Children and Adolescents Using Noncontact Infrared Meibography
Yuan Wu et al.
JOURNAL OF PEDIATRIC OPHTHALMOLOGY & STRABISMUS (2017)
Objective image analysis of the meibomian gland area
Reiko Arita et al.
BRITISH JOURNAL OF OPHTHALMOLOGY (2014)
Repeatability of Grading Meibomian Gland Dropout Using Two Infrared Systems
William Ngo et al.
OPTOMETRY AND VISION SCIENCE (2014)
Comparison of subjective grading and objective assessment in meibography
Heiko Pult et al.
CONTACT LENS & ANTERIOR EYE (2013)
Detection of meibomian glands and classification of meibography images
Yang Wei Koh et al.
JOURNAL OF BIOMEDICAL OPTICS (2012)
Relation Between Upper and Lower Lids' Meibomian Gland Morphology, Tear Film, and Dry Eye
Heiko Pult et al.
OPTOMETRY AND VISION SCIENCE (2012)
Interrater reliability: the kappa statistic
Mary L. McHugh
BIOCHEMIA MEDICA (2012)
The International Workshop on Meibomian Gland Dysfunction: Report of the Definition and Classification Subcommittee
J. Daniel Nelson et al.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2011)
Noncontact infrared meibography to document age-related changes of the meibomian glands in a normal population
Reiko Arita et al.
OPHTHALMOLOGY (2008)
Grading of corneal and conjunctival staining in the context of other dry eye tests
AJ Bron et al.
CORNEA (2003)
分享论文
