公开1.6万例患者1.9万张内镜影像，助力胰胆疾病智能诊断
Curated endoscopic retrograde cholangiopancreatography images dataset
- 收集并人工标注1.9万张高质量内镜图像，来自1602名患者
- 5519张图像带专业医生标注，经三名资深专家审核
- 可直接用于胰胆疾病自动分析，推动AI辅助诊断研究
内镜逆行胰胆管造影（ERCP）是诊断和治疗胰胆系统疾病的关键技术。人工智能被视为实现诊断自动化的潜在解决方案，但公开的ERCP数据集稀缺，限制了该方向的发展。为此，本研究构建了一个大规模、经过严格筛选的数据集，包含19,018张原始图像和19,317张处理后的图像，来自1,602名患者。其中5,519张图像由两名经验超过5年的胃肠科医生手动标注，并经一名拥有超20年经验、年均完成400余例ERCP手术的专家复核。通过分类实验验证了数据集的实用性和有效性。该数据集旨在为胰胆疾病自动分析与诊断提供基准支持。
原文摘要 · Abstract (English)
Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatment of biliary and pancreatic diseases. Artificial intelligence has been pointed as one solution to automatize diagnosis. However, public ERCP datasets are scarce, which limits the use of such approach. Therefore, this study aims to help fill this gap by providing a large and curated dataset. The collection is composed of 19.018 raw images and 19.317 processed from 1.602 patients. 5.519 images are labeled, which provides a ready to use dataset. All images were manually inspected and annotated by two gastroenterologist with more than 5 years of experience and reviewed by another gastroenterologist with more than 20 years of experience, all with more than 400 ERCP procedures annually. The utility and validity of the dataset is proven by a classification experiment. This collection aims to provide or contribute for a benchmark in automatic ERCP analysis and diagnosis of biliary and pancreatic diseases.
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