Yaxin Shen

ORCID: 0000-0003-2169-338X
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Retinal and Optic Conditions
  • Medical Research and Treatments
  • Digital Imaging for Blood Diseases
  • Artificial Intelligence in Healthcare

China People's Public Security University
2024

Beijing Academy of Artificial Intelligence
2021

Shanghai Jiao Tong University
2018-2021

University of Oklahoma
2019

Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages retinopathy. DeepDR is trained for real-time image quality assessment, lesion grading using 466,247 fundus images from 121,342 patients with diabetes. Evaluation performed on local dataset 200,136 52,004 three external datasets total 209,322 images. The area under receiver operating...

10.1038/s41467-021-23458-5 article EN cc-by Nature Communications 2021-05-28

This is an era of information that moving towards digitalization, and the term "artificial intelligence" no longer unfamiliar to contemporary young people. Robots are able simulate human movements, this deep development science technology has undoubtedly profoundly changed our way production life. Artificial intelligence gradually penetrated into criminal law in China, bringing considerable risks challenges traditional proceedings. We still weak artificial will be for a long time, its "tool...

10.23977/jaip.2024.070208 article EN Journal of Artificial Intelligence Practice 2024-01-01
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