Screening for diabetic retinopathy: new perspectives and challenges
Although the prevalence of all stages of diabetic retinopathy has been declining since 1980
in populations with improved diabetes control, the crude prevalence of visual impairment …
in populations with improved diabetes control, the crude prevalence of visual impairment …
[HTML][HTML] Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review
E Pellegrini, L Ballerini, MCV Hernandez… - Alzheimer's & Dementia …, 2018 - Elsevier
Introduction Advanced machine learning methods might help to identify dementia risk from
neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the …
neuroimaging, but their accuracy to date is unclear. Methods We systematically reviewed the …
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research
Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly
affecting the working-age population in the world. Recent research has given a better …
affecting the working-age population in the world. Recent research has given a better …
[HTML][HTML] Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
MD Abràmoff, Y Lou, A Erginay… - … & visual science, 2016 - jov.arvojournals.org
Purpose: To compare performance of a deep-learning enhanced algorithm for automated
detection of diabetic retinopathy (DR), to the previously published performance of that …
detection of diabetic retinopathy (DR), to the previously published performance of that …
Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks
Importance Age-related macular degeneration (AMD) affects millions of people throughout
the world. The intermediate stage may go undetected, as it typically is asymptomatic …
the world. The intermediate stage may go undetected, as it typically is asymptomatic …
An ensemble deep learning based approach for red lesion detection in fundus images
JI Orlando, E Prokofyeva, M Del Fresno… - Computer methods and …, 2018 - Elsevier
Background and objectives: Diabetic retinopathy (DR) is one of the leading causes of
preventable blindness in the world. Its earliest sign are red lesions, a general term that …
preventable blindness in the world. Its earliest sign are red lesions, a general term that …
Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
Red lesion detection using dynamic shape features for diabetic retinopathy screening
The development of an automatic telemedicine system for computer-aided screening and
grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus …
grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus …
[HTML][HTML] Synthesizing retinal and neuronal images with generative adversarial nets
This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from
an unseen tubular structured annotation that contains the binary vessel (or neuronal) …
an unseen tubular structured annotation that contains the binary vessel (or neuronal) …