Development of an artificial intelligence system to classify pathology and clinical features on retinal fundus images

An ensemble deep learning based approach for red lesion detection in fundus images

(2018) José Ignacio Orlando et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network

(2017) Jen Hong Tan et al.   INFORMATION SCIENCES

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep image mining for diabetic retinopathy screening

(2017) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

Leveraging uncertainty information from deep neural networks for disease detection

(2017) Christian Leibig et al.   Scientific Reports

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Automated lesion detectors in retinal fundus images

(2015) I.N. Figueiredo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Accuracy Assessment of Intra- and Intervisit Fundus Image Registration for Diabetic Retinopathy Screening

(2015) K. M. Adal et al.   INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

(2014) Etienne Decencière et al.   Image Analysis & Stereology

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach

(2013) M.M. Fraz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

TeleOphta: Machine learning and image processing methods for teleophthalmology

(2013) E. Decencière et al.   IRBM

Diabetes: a 21st century challenge

(2013) Paul Z Zimmet et al.   Lancet Diabetes & Endocrinology

Improving retinal artery and vein classification by means of a minimal path approach

(2012) S. G. Vázquez et al.   MACHINE VISION AND APPLICATIONS

Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs

(2011) M. Niemeijer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

(2009) Meindert Niemeijer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Identification of the optic nerve head with genetic algorithms

(2008) Enrique J. Carmona et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE