Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
G García, R Del Amor, A Colomer… - Artificial Intelligence in …, 2021 - Elsevier
Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence
Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of …
Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of …
Glaucoma detection from raw circumpapillary OCT images using fully convolutional neural networks
G García, R del Amor, A Colomer… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Nowadays, glaucoma is the leading cause of blindness worldwide. We propose in this paper
two different deep-learning based approaches to address glaucoma detection just from raw …
two different deep-learning based approaches to address glaucoma detection just from raw …
Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in different plexus
J Schottenhamml, T Würfl, S Mardin… - Biomedical optics …, 2021 - opg.optica.org
Glaucoma is among the leading causes of irreversible blindness worldwide. If diagnosed
and treated early enough, the disease progression can be stopped or slowed down …
and treated early enough, the disease progression can be stopped or slowed down …
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
VK Velpula, LD Sharma - Frontiers in Physiology, 2023 - frontiersin.org
Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
Multi-context deep network for angle-closure glaucoma screening in anterior segment OCT
A major cause of irreversible visual impairment is angle-closure glaucoma, which can be
screened through imagery from Anterior Segment Optical Coherence Tomography (AS …
screened through imagery from Anterior Segment Optical Coherence Tomography (AS …
Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening
Abstract Optical Coherence Tomography (OCT) imaging plays an important role in
glaucoma diagnosis in clinical practice. Early detection and timely treatment can prevent …
glaucoma diagnosis in clinical practice. Early detection and timely treatment can prevent …
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
Glaucoma is the leading cause of irreversible blindness in the world. Structure and function
assessments play an important role in diagnosing glaucoma. Nowadays, Optical Coherence …
assessments play an important role in diagnosing glaucoma. Nowadays, Optical Coherence …
Glaucoma diagnosis using multi-feature analysis and a deep learning technique
In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
Glaucoma is a chronic progressive optic neuropathy characterized by the impairment of the
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness
worldwide. Although deep learning methods have been proposed to diagnose POAG, it …
worldwide. Although deep learning methods have been proposed to diagnose POAG, it …
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