Project 29: Screening and Auxiliary Diagnosis System of Diabetic Retinopathy Based on Artificial Intelligence

Contact Information:

Assoc. Prof. Bin Sheng

Email: shengbin@cs.sjtu.edu.cn

Project Description and Objectives:

The harm of diabetes to health is mainly caused by a variety of chronic complications (retinal, kidney, peripheral nerve and cardiovascular diseases) caused by long-term and chronic hyperglycemia, which seriously affects the quality of life of the population. Complications screening is the main measure to prevent and cure related complications. The question of how to effectively improve the efficiency of diabetes complications screening and reduce the cost of screening is a common problem faced by many developing countries. This project develops artificial intelligence algorithms for screening diabetic retinopathy and other diabetic complications. The system has been used to screen populations in developing countries for diabetes complications under the leadership of the International Diabetes Federation (IDF).

Eligibility Requirements:

Applicants must have some computer programming skills, basic understanding of neural networks and artificial intelligence, and a passion for medical care.

Main Tasks:

Understand digital medical image processing.

Perform and analyze experiments, and write a research report.

Give a research presentation (technical presentation).

Website:

Lab: https://www.deepdrdoc.com/ 

School: http://www.cs.sjtu.edu.cn/en/PeopleDetail.aspx?id=149