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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月30日

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  • Jie Sun,
  • Xinyu Zhao,
  • Shaobin Chen,
  • Yulin Zhang,
  • Hui Ren,
  • Yue Sun,
  • Guoming Zhang

摘要

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.