[HTML][HTML] Optical coherence tomography (OCT): a brief look at the uses and technological evolution of ophthalmology
M Zeppieri, S Marsili, ES Enaholo, AO Shuaibu… - Medicina, 2023 - mdpi.com
Medical imaging is the mainstay of clinical diagnosis and management. Optical coherence
tomography (OCT) is a non-invasive imaging technology that has revolutionized the field of …
tomography (OCT) is a non-invasive imaging technology that has revolutionized the field of …
Anterior chamber inflammation grading methods: A critical review
HH Oo, M Mohan, W Song, W Rojas-Carabali… - Survey of …, 2023 - Elsevier
Assessing anterior chamber (AC) inflammation is highly subjective and challenging.
Although various grading systems attempt to offer objectivity and standardization, the clinical …
Although various grading systems attempt to offer objectivity and standardization, the clinical …
Ocular biometric risk factors for progression of primary angle closure disease: the Zhongshan Angle Closure Prevention Trial
Purpose To assess baseline ocular biometric risk factors for progression from primary angle
closure suspect (PACS) to primary angle closure (PAC) or acute angle closure (AAC) …
closure suspect (PACS) to primary angle closure (PAC) or acute angle closure (AAC) …
Digital gonioscopy based on three-dimensional anterior-segment OCT: an international multicenter study
Purpose To develop and evaluate the performance of a 3-dimensional (3D) deep-learning–
based automated digital gonioscopy system (DGS) in detecting 2 major characteristics in …
based automated digital gonioscopy system (DGS) in detecting 2 major characteristics in …
[HTML][HTML] Deep neural network for scleral Spur detection in anterior segment OCT images: the Chinese American eye study
Purpose: To develop a deep neural network that detects the scleral spur in anterior segment
optical coherence tomography (AS-OCT) images. Methods: Participants in the Chinese …
optical coherence tomography (AS-OCT) images. Methods: Participants in the Chinese …
Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography
Aims To validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-
source optical coherence tomography (SS-OCT)(CASIA SS-1000, Tomey Corporation …
source optical coherence tomography (SS-OCT)(CASIA SS-1000, Tomey Corporation …
Automated expert-level scleral spur detection and quantitative biometric analysis on the ANTERION anterior segment OCT system
K Bolo, GA Aroca, AA Pardeshi, M Chiang… - British Journal of …, 2024 - bjo.bmj.com
Aim To perform an independent validation of deep learning (DL) algorithms for automated
scleral spur detection and measurement of scleral spur-based biometric parameters in …
scleral spur detection and measurement of scleral spur-based biometric parameters in …
Ocular biometric determinants of anterior chamber angle width in Chinese Americans: the Chinese American Eye Study
Purpose We sought to investigate anatomic mechanisms of angle narrowing by assessing
ocular biometric determinants of anterior chamber angle width. Design Population-based …
ocular biometric determinants of anterior chamber angle width. Design Population-based …
Role of static and dynamic ocular biometrics measured in the dark and light as risk factors for angle closure progression
PURPOSE To assess the role of static and dynamic ocular biometric parameters measured
in the dark and light for predicting progression of primary angle closure suspect (PACS) to …
in the dark and light for predicting progression of primary angle closure suspect (PACS) to …
[HTML][HTML] Dissecting the profile of corneal thickness with keratoconus progression based on anterior segment optical coherence tomography
Y Dong, D Li, Z Guo, Y Liu, P Lin, B Lv, C Lv… - Frontiers in …, 2022 - frontiersin.org
Purpose To characterize the corneal and epithelial thickness at different stages of
keratoconus (KC), using a deep learning based corneal segmentation algorithm for anterior …
keratoconus (KC), using a deep learning based corneal segmentation algorithm for anterior …