Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Jianbo MaoYuhao LuoLei LiuJimeng LaoYirun ShaoMin ZhangCaiyun ZhangMingzhai SunLijun Shen

Published in: Acta ophthalmologica (2019)

Our system achieved high accuracy of diagnosis of plus disease in retinopathy of prematurity. It provided a quantitative analysis of the dynamic features of the disease progression. This automated system can assist physicians by providing a classification decision with auxiliary quantitative evaluation of the typical pathological features of the disease.

Keyphrases

deep learning
convolutional neural network
machine learning
primary care
high throughput
mass spectrometry