Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images.

Kang WangChaitra JayadevMuneeswar Gupta NittalaSwetha B VelagaChaithanya A RamachandraMalavika BhaskaranandSandeep BhatKaushal SolankiSriniVas R Sadda

Published in: Acta ophthalmologica (2017)

Diabetic retinopathy (DR) lesions were detected from Optos pseudocolour UWF images using an automated algorithm. Images were classified as referral-warranted DR with a high degree of sensitivity and moderate specificity. Automated analysis of UWF images could be of value in DR screening programmes and could allow for more complete and accurate disease staging.

Keyphrases

diabetic retinopathy
deep learning
optical coherence tomography
convolutional neural network
machine learning
editorial comment
high throughput
primary care
lymph node
high resolution
pet ct