COph100:来自婴儿的全面 fundus 图像注册数据集,构成"RIDIRP"数据库
Yan Hu1, Mingdao Gong2, Zhongxi Qiu2
1Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. huy3@sustech.edu.cn.
Scientific data
|January 17, 2025
概括
一个新的数据集,COph100,解决了婴儿视网膜图像注册数据的需求. 它具有具有挑战性的图像和基本真相,有助于儿童眼科研究.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 计算机视觉 计算机视觉
背景情况:
- 视网膜图像注册对于诊断和治疗眼睛疾病至关重要.
- 现有的数据集缺乏足够的婴儿数据和临床挑战代表性.
- 高质量的成人视网膜数据集在图像对和现实世界的复杂性方面是有限的.
研究的目的:
- 介绍COph100,一个用于婴儿视网膜图像登记的新型数据集.
- 为算法开发提供具有挑战性的资源,具有多样化的图像质量.
- 促进儿童眼科视网膜注册方法的可靠比较.
主要方法:
- 从RIDIRP数据库中,从2-9个会话中对100个婴儿眼睛的491个图像对进行了精选.
- 对相应图像进行手动注释的地面真实点.
- 为每个图像生成自动船只细分口罩.
主要成果:
- 建立了COph100数据集,图像质量和临床相关性各异.
- 数据集使用最先进的注册算法进行评估.
- 为增强分析提供地面真相和细分口罩.
结论:
- COph100可以对视网膜注册算法进行可靠的基准测试.
- 有助于研究婴儿疾病进展.
- 通过改进的成像分析,提高了对儿科眼科疾病的理解.
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