Automatic diagnosis of retinoblastoma and quantitative analysis of retinal vascular morphology using deep learning
Purpose To develop a convolutional neural network-based artificial intelligence identification diagnostic system for ultra-wide field fundus images of retinoblastoma (RB) and quantify its vascular morphology features. Methods A retrospective study. 183 ultra-wide field fundus images from 54 patients diagnosed with RB w...