Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

Ophthalmology - Netherlands
doi 10.1016/j.ophtha.2018.04.020
Full Text
Abstract

Available in full text

Categories
Ophthalmology
Date
Authors
Publisher

Elsevier BV

Related search

Screening of Diabetes and Hypertension Based on Retinal Fundus Photographs Using Deep Learning

2019English

Fundus Photograph-Based Deep Learning Algorithms in Detecting Diabetic Retinopathy

Eye
MedicineArtsSensory SystemsOphthalmologyHumanities
2018English

Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach

IEEE Transactions on Medical Imaging
Electronic EngineeringUltrasound TechnologyRadiologicalComputer Science ApplicationsElectricalSoftware
2015English

Automatic Diagnosis of Color Fundus Photographs Using TV Camera System

The Journal of the Institute of Television Engineers of Japan
1975English

Anterior Optic Nerve Microvascular Changes in Human Glaucomatous Optic Neuropathy

Eye
MedicineArtsSensory SystemsOphthalmologyHumanities
2000English

Psychophysical Testing in Rodent Models of Glaucomatous Optic Neuropathy

Experimental Eye Research
Molecular NeuroscienceOphthalmologySensory SystemsCellular
2015English

Quantitative Evaluation of Papilledema From Stereoscopic Color Fundus Photographs

Investigative Ophthalmology and Visual Science
Molecular NeuroscienceOphthalmologySensory SystemsCellular
2012English

An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

Diabetes Care
Internal MedicineEndocrinologyAdvancedMetabolismSpecialized NursingDiabetes
2018English

Morphometric Analysis and Classification of Glaucomatous Optic Neuropathy Using Radial Polynomials

Journal of Glaucoma
Ophthalmology
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy