首个非洲来源的角膜地形图多模态数据集，助力AI识别圆锥角膜。
CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
- 整合Orbscan四类角膜图与临床表型数据，构建多模态数据集。
- 包含1454只眼（565例圆锥角膜），覆盖多种关键临床参数。
- 数据已标准化并开源，适合医疗AI研究者使用。
本文介绍CornOrb，一个面向阿尔及利亚患者公开获取的多模态角膜地形图与临床标注数据集。数据集包含744名患者的1454只眼，其中889只为正常眼，565只为圆锥角膜病例。每只眼提供四类角膜地图：轴向曲率、前表面抬升、后表面抬升和厚度图，并配有结构化表格数据，包括人口统计信息及关键临床参数，如散光度数、最大角膜屈光力（Kmax）、中央与最薄点厚度、前后表面非球面度等。所有数据为回顾性采集，完全匿名化处理，并预处理为标准PNG与CSV格式，确保人工智能研究的直接可用性。该数据集是非洲首个大规模基于Orbscan的资源，专为推动多模态数据下的圆锥角膜智能检测与分析而构建。数据已在Zenodo公开共享。
原文摘要 · Abstract (English)
In this paper, we present CornOrb, a publicly accessible multimodal dataset of Orbscan corneal topography images and clinical annotations collected from patients in Algeria. The dataset comprises 1,454 eyes from 744 patients, including 889 normal eyes and 565 keratoconus cases. For each eye, four corneal maps are provided (axial curvature, anterior elevation, posterior elevation, and pachymetry), together with structured tabular data including demographic information and key clinical parameters such as astigmatism, maximum keratometry (Kmax), central and thinnest pachymetry, and anterior/posterior asphericity. All data were retrospectively acquired, fully anonymized, and pre-processed into standardized PNG and CSV formats to ensure direct usability for artificial intelligence research. This dataset represents one of the first large-scale Orbscan-based resources from Africa, specifically built to enable robust AI-driven detection and analysis of keratoconus using multimodal data. The data are openly available at Zenodo.
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