Article List

WPRIM Management System> DCMS> Chinese Journal of Experimental Ophthalmology> 2019> 37> 8

Volume: 37 Issue: 8

1. Attach importance to the opportunities and challenges facing the development of ophthalmic artificial intelligence in China	Page:599—602
2. Diabetic retinopathy detection algorithm based on transfer learning	Page:603—607
3. Retinal image quality assessment based on FA-Net	Page:608—612
4. Diabetic retinopathy fundus image generation based on generative adversarial networks	Page:613—618
5. Multi-channel conditional generative adversarial networks retinal vessel segmentation algorithm	Page:619—623
6. A novel lesion detection algorithm based on multi-scale input convolutional neural network model for diabetic retinopathy	Page:624—629
7. Screening and grading of fundus images of diabetic retinopathy based on visual attention	Page:630—637
8. Objective analysis of corneal subbasal nerve tortuosity and its changes in patients with dry eye and diabetes	Page:638—644
9. Automated assisted clinical diagnosis of retinopathy of prematurity based on deep learning	Page:647—651
10. Application of standardized manual labeling on identification of retinopathy of prematurity images in deep learning	Page:653—657
11. The application value of deep learning OCT on wet age-related macular degeneration assisted diagnosis	Page:658—662
12. Clinical evaluation of artificial intelligence system based on fundus photograph in diabetic retinopathy screening	Page:663—668
13. Validation and application of an artificial intelligence robot assisted diagnosis system for diabetic retinopathy	Page:669—673
14. Establishment and application of diabetic retinopathy intelligent assisted diagnostic technology evaluation system based on fundus photography	Page:674—679
15. Application of artificial intelligence in ophthalmology	Page:680—683
16. Research status and prospect of deep learning algorithm-based artificial intelligence in assisted diagnosis of diabetic retinopathy	Page:684—688