An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors.

Journal: Scientific data
Published Date: Aug 30, 2025

Abstract

Retinal fundus photographs are now widely used in developing artificial intelligence (AI) systems for the detection of various fundus diseases. However, the application of AI algorithms in intraocular tumors remains limited due to the scarcity of large, publicly available, and diverse multi-disease fundus image datasets. Ultra-wide-field (UWF) fundus images, with a broad imaging range, offer unique advantages for early detection of intraocular tumors. In this study, we developed a comprehensive dataset containing 2,031 UWF fundus images, encompassing five distinct types of intraocular tumors and normal images. These images were classified by three expert annotators to ensure accurate labeling. This dataset aims to provide a robust, multi-disease, real-world data source to facilitate the development and validation of AI models for the early diagnosis and classification of intraocular tumors.

Authors

  • Jie Sun
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
  • Xinyu Zhao
    AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
  • Shaobin Chen
    National-Regional Key Technology Engineering Lab. for Medical Ultrasound, Guangdong Key Lab. for Biomedical Measurements and Ultrasound Imaging, Marshall Lab. of Biomedical Engineering, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
  • Yulin Zhang
  • Hui Ren
  • Yue Sun
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Guoming Zhang
    Shenzhen Eye Hospital; Shenzhen Key Ophthalmic Laboratory, Health Science Center, Shenzhen University, The Second Affiliated Hospital of Jinan University, Shenzhen, China. Electronic address: 13823509060@163.com.

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