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

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

This dataset consisted of 2,031 ultra-wide-field fundus images, encompassing five distinct types of intraocular tumors and normal images. It is provided as a zipped file containing six subfolders, each corresponding to a specific category: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangi...

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Bibliographic Details
Main Author: Guoming Zhang (20401606) (author)
Other Authors: Jie Sun (20401593) (author), Xinyu Zhao (18279031) (author), Shaobin Chen (20401599) (author), Yulin Zhang (20401603) (author), Hui Ren (20401605) (author), Yue Sun (18279331) (author)
Published: 2025
Subjects:
Cancer Diagnosis
Ophthalmology
intraocular tumors
artificial intelligence algorithm (AI)
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