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eess.IV2024★ 1 cited
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…
eess.IV2020
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa +3
Optical Coherence Tomography (OCT) is pervasive in both the research and clinical practice of Ophthalmology. However, OCT images are strongly corrupted by noise, limiting their int…