Challenge Introduction

Hypertensive retinopathy (HR) refers to retinal damage caused by high blood pressure. Elevated blood pressure initially causes changes in the retina, causing spasmodic constriction of the retinal arteries. If the blood pressure is controlled in time during this period, the damage to the blood vessels is reversible. However, the analysis of hypertensive retinopathy is limited by the manual inspection process of image by image, which is time-consuming and relies heavily on the experience of ophthalmologists. Therefore, an effective computer-aided system is essential to help ophthalmologists analyze the progression of disease.

In order to promote the application of machine learning and deep learning algorithms in computer- aided automatic clinical hypertensive retinopathy diagnosis, we organize the hypertensive retinopathy diagnosis challenge. With this dataset, various algorithms can test their performance and make a fair comparison with other algorithms. There are two tasks in this challenge:

  • Task 1: Hypertension classification. Given a fundus image of a patient’s eye, the task is to confirm whether this patient suffers from hypertension. Category 0 represents no hypertension and category 1 represents hypertension. This is a two-class classification task.
  • Task 2: Hypertensive retinopathy classification. Given a fundus image of a patient’s eye, the purpose of the task is to confirm whether this eye suffers from hypertensive retinopathy. Category 0 represents no hypertensive retinopathy and category 1 represents hypertensive retinopathy. This is a two-class classification task.

Challenge Organization

Challenge Chairs

  • Bin Sheng, Shanghai Jiao Tong University, Shanghai, China
  • Ping Zhang, The Ohio State University, Ohio, USA
  • Carol Y Cheung, The Chinese University of Hong Kong, Hong Kong, China
  • Jing Qin, The Hong Kong Polytechnic University, Hong Kong, China

Challenge committee members

  • Pheng-Ann Heng, The Chinese University of Hong Kong, Hong Kong, China
  • Yanhui Ma, The Ohio State University, Ohio, USA
  • Huating Li, Shanghai Sixth People’s Hospital, Shanghai, China

Organization co-chairs

  • Bo Qian, Shanghai Jiao Tong University, Shanghai, China
  • Xiangning Wang, Shanghai Sixth People’s Hospital, Shanghai, China

Technical support

  • Zhouyu Guan, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Zheyuan Wang, Shanghai Jiao Tong University, Shanghai, China
  • Tingyao Li, Shanghai Jiao Tong University, Shanghai, China
  • Gengyou Huang, Shanghai Jiao Tong University, Shanghai, China
  • Xiuyuan Chen, Shanghai Jiao Tong University, Shanghai, China
  • Shangmin Huang, Shanghai Jiao Tong University, Shanghai, China
  • Ruixue Zhang, Zaozhuang University, Zaozhuang, Shandong, China

Challenge Webpage

CGI-HRDC2023

Challenge Contact

E-mail: cgihrdc@163.com