2 citations · 3 across the 2 of their papers we have counts for
4 papers
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions
Ou Tan, David S. Greenfield, Brian A. Francis +4
Precis: A hybrid deep-learning model combines NFL reflectance and other OCT parameters to improve glaucoma diagnosis. Objective: To investigate if a deep learning model could be us…
Focal Loss Analysis of Peripapillary Nerve Fiber Layer Reflectance for Glaucoma Diagnosis
Ou Tan, Dongseok Choi, Aiyin Chen +6
Purpose: To evaluate nerve fiber layer (NFL) reflectance for glaucoma diagnosis using a large dataset. Methods: Participants were imaged with 4.9mm ONH scans using spectral-domain…
Reliability for Nerve Fiber Layer Reflectance Using Spectral Domain Optical Coherence Tomography
Kabir Hossain, Ou Tan, Po-Han Yeh +4
Purpose: Reliability for Nerve Fiber Layer Reflectance Using Spectral Domain Optical Coherence Tomography (OCT) Methods: The study utilized OCT to scan participants with a cubic 6x…
Focal Loss Analysis of Nerve Fiber Layer Reflectance for Glaucoma Diagnosis
Ou Tan, Liang Liu, Qisheng You +6
Purpose: To evaluate nerve fiber layer (NFL) reflectance for glaucoma diagnosis. Methods: Participants were imaged with 4.5X4.5-mm volumetric disc scans using spectral-domain optic…