3 papers
cs.CV2020
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
Yehui Yang, Fangxin Shang, Binghong Wu +5
Diabetic retinopathy (DR) grading from fundus images has attracted increasing interest in both academic and industrial communities. Most convolutional neural network (CNN) based al…
eess.IV2020
Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening
Dalu Yang, Yehui Yang, Tiantian Huang +3
There are extensive researches focusing on automated diabetic reti-nopathy (DR) detection from fundus images. However, the accuracy drop is ob-served when applying these models in…
cs.CV2017
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks
Yehui Yang, Tao Li, Wensi Li +3
We propose an automatic diabetic retinopathy (DR) analysis algorithm based on two-stages deep convolutional neural networks (DCNN). Compared to existing DCNN-based DR detection met…