AIMC Topic: Optic Disk
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A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection.
Computational and mathematical methods in medicine
Nov 5, 2021
Glaucoma is a chronic ocular disease characterized by damage to the optic nerve resulting in progressive and irreversible visual loss. Early detection and timely clinical interventions are critical in improving glaucoma-related outcomes. As a typical...
Deep learning on fundus images detects glaucoma beyond the optic disc.
Scientific reports
Oct 13, 2021
Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology that advances explainable deep learning in the field of glaucoma dete...
Re: Christopher et al.: Deep learning approaches predict glaucomatous visual field damage from OCT optic nerve head en face images and retinal nerve fiber layer thickness maps (Ophthalmology. 2020;127:346-356).
Ophthalmology
Oct 7, 2021
Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone.
The British journal of ophthalmology
Jul 14, 2021
BACKGROUND/AIMS: To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with a smartphone.
Automatic detection of papilledema through fundus retinal images using deep learning.
Microscopy research and technique
Jul 8, 2021
Papilledema is a syndrome of the retina in which retinal optic nerve is inflated by elevation of intracranial pressure. The papilledema abnormalities such as retinal nerve fiber layer (RNFL) opacification may lead to blindness. These abnormalities co...
A high resolution representation network with multi-path scale for retinal vessel segmentation.
Computer methods and programs in biomedicine
Jun 4, 2021
BACKGROUND AND OBJECTIVES: Automatic retinal vessel segmentation (RVS) in fundus images is expected to be a vital step in the early image diagnosis of ophthalmologic diseases. However, it is a challenging task to detect the retinal vessel accurately ...
Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.
American journal of human genetics
Jun 1, 2021
Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuropathy. Two key parameters are vertical cup-to-disc ratio (VCDR) and vertical disc diameter (VDD). However, manual assessment often suffers from poor a...
Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.
American journal of human genetics
Jun 1, 2021
Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can be costly, time intensive, and variable. Here, we develop a machine learning (ML) model to predict glaucomatous optic nerve head features from color ...
An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning.
Computational and mathematical methods in medicine
May 31, 2021
Diabetic retinopathy occurs as a result of the harmful effects of diabetes on the eyes. Diabetic retinopathy is also a disease that should be diagnosed early. If not treated early, vision loss may occur. It is estimated that one third of more than ha...
Joint optic disc and optic cup segmentation based on boundary prior and adversarial learning.
International journal of computer assisted radiology and surgery
May 8, 2021
PURPOSE: The most direct means of glaucoma screening is to use cup-to-disc ratio via colour fundus photography, the first step of which is the precise segmentation of the optic cup (OC) and optic disc (OD). In recent years, convolution neural network...
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