Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning - Pan, Xiangji; Jin, Kai; Cao, Jing; Liu, Zhifang; Wu, Jian; You, Kun; Lu, Yifei; Xu, Yufeng; Su, Zhaoan; Jiang, Jiekai; Yao, Ke; Ye, Juan (Graefe's archive for clinical and experimental ophthalmology, 2020)
Keywords: Aged; Algorithms; Angiography; Classification; Decision making; Deep Learning; Diabetes; Diabetes mellitus; Diabetic retinopathy; Diabetic Retinopathy - classification; Diabetic Retinopathy - diagnosis; Female; Fluorescein; Fluorescein Angiography - methods; Fundus Oculi; Humans; Image Processing, Computer-Assisted - methods; Lasers; Lesions; Male; Medical imaging; Medicine; Medicine & Public Health; Middle Aged; Neural networks; Neural Networks, Computer; Ophthalmology; Perfusion; Retina; Retina - pathology; Retinal Disorders; Retinopathy; Deep learning; Diabetic retinopathy; Fundus fluorescein angiography; Multi-label classification