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Full-Text Articles in Eye Diseases

Distinctions Between Choroidal Neovascularization And Age Macular Degeneration In Ocular Disease Predictions Via Multi-Size Kernels Ξcho-Weighted Median Patterns, Alex Liew, Sos Agaian, Samir Benbelkacem Jan 2023

Distinctions Between Choroidal Neovascularization And Age Macular Degeneration In Ocular Disease Predictions Via Multi-Size Kernels Ξcho-Weighted Median Patterns, Alex Liew, Sos Agaian, Samir Benbelkacem

Publications and Research

Age-related macular degeneration is a visual disorder caused by abnormalities in a part of the eye’s retina and is a leading source of blindness. The correct detection, precise location, classification, and diagnosis of choroidal neovascularization (CNV) may be challenging if the lesion is small or if Optical Coherence Tomography (OCT) images are degraded by projection and motion. This paper aims to develop an automated quantification and classification system for CNV in neovascular age-related macular degeneration using OCT angiography images. OCT angiography is a non-invasive imaging tool that visualizes retinal and choroidal physiological and pathological vascularization. The presented system is based …


Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Ling, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai Feb 2022

Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Ling, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai

Publications and Research

Purpose: To differentiate polypoidal choroidal vasculopathy (PCV) from choroidal neovascularization (CNV) and to determine the extent of PCV from fluorescein angiography (FA) using attention-based deep learning networks.

Methods: We build two deep learning networks for diagnosis of PCV using FA, one for detection and one for segmentation. Attention-gated convolutional neural network (AG-CNN) differentiates PCV from other types of wet age-related macular degeneration. Gradient-weighted class activation map (Grad-CAM) is generated to highlight important regions in the image for making the prediction, which offers explainability of the network. Attention-gated recurrent neural network (AG-PCVNet) for spatiotemporal prediction is applied for segmentation …


Extracellular Vesicles Released By Human Retinal Pigment Epithelium Mediate Increased Polarised Secretion Of Drusen Proteins In Response To Amd Stressors, Miguel Flores-Bellver, Jason Mighty, Silvia Aparicio-Domingo, Kang V. Li, Cui Shi, Jing Zhou, Hannah Cobb, Patrick Mcgrath, German Michelis, Patricia Lenhart, Ganna Bilousova, Søren Heissel, Michael J. Rudy, Christina Coughlan, Andrew E. Goodspeed, S. Patricia Becerra, Stephen Redenti, M. Valeria Canto-Soler Jan 2021

Extracellular Vesicles Released By Human Retinal Pigment Epithelium Mediate Increased Polarised Secretion Of Drusen Proteins In Response To Amd Stressors, Miguel Flores-Bellver, Jason Mighty, Silvia Aparicio-Domingo, Kang V. Li, Cui Shi, Jing Zhou, Hannah Cobb, Patrick Mcgrath, German Michelis, Patricia Lenhart, Ganna Bilousova, Søren Heissel, Michael J. Rudy, Christina Coughlan, Andrew E. Goodspeed, S. Patricia Becerra, Stephen Redenti, M. Valeria Canto-Soler

Publications and Research

Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. Drusen are key contributors to the etiology of AMD and the ability to modulate drusen biogenesis could lead to therapeutic strategies to slow or halt AMD progression. The mechanisms underlying drusen biogenesis, however, remain mostly unknown. Here we demonstrate that under homeostatic conditions extracellular vesicles (EVs) secreted by retinal pigment epithelium (RPE) cells are enriched in proteins associated with mechanisms involved in AMD pathophysiology, including oxidative stress, immune response, inflammation, complement system and drusen composition. Furthermore, we provide first evidence that drusen-associated proteins are released as cargo of extracellular …