LCFP-14M: A High-quality Large-scale Color Fundus Photography Images Dataset with Eleven Types of Annotations
收藏科学数据银行2025-05-06 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=b90e9f7f59364bd6b5ed681f732dfdf0
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资源简介：
More and more human beings are suffering from ophthalmic diseases, and automatic analysis of images from Color Fundus Photography (CFP) using deep learning algorithms can improve the accuracy and prevalence of early screening for ophthalmic diseases. However, the performance of deep learning models is highly dependent on the training data, and the currently available retinal image datasets still have limitations such as scarce total data and poor disease diversity. Therefore, we extensively collected and integrated the CFP publicly available datasets, resulting in the construction LCFP-14M dataset containing 13,718,610 retinal fundus images with a total of 150,904,710 annotations, which is one of the largest datasets and covers the widest range of ophthalmic diseases at present.
提供机构：
University of Chinese Academy of Sciences
创建时间：
2024-12-17
