一个基于智能手机的全面数据集,注释口腔腔图像,用于增强口腔疾病诊断
P D Madan Kumar1, K Ranganathan1, C Lavanya1
1Ragas Dental College and Hospital Chennai, Uthandi, 600119, India.
Scientific data
|March 14, 2026
概括
本研究介绍了SMART-OM数据集,包括专家注释的智能手机图像,用于开发AI/ML工具来检测口腔癌 (OC) 和口腔潜在恶性疾病 (OPMD). 这个资源有助于口腔病变的自动诊断.
科学领域:
- 医疗信息学 医疗信息学
- 计算机视觉 计算机视觉
- 口腔病理学 口腔病理学
背景情况:
- 早期发现口腔癌 (OC) 和口腔潜在恶性疾病 (OPMD) 对于改善患者的治疗结果至关重要.
- 现有的数据集可能缺乏多样性或现实世界的临床适用性,用于训练AI/ML模型.
- 基于智能手机的数据采集为大规模的医疗图像收集提供了可扩展和可访问的方法.
研究的目的:
- 介绍SMART-OM数据集,这是一个由专家注释的口腔粘膜智能手机图像的新集合.
- 促进人工智能和机器学习 (AI/ML) 算法的开发和验证,用于OC和OPMD的自动诊断.
- 提供一个全面的数据集,包括各种口腔病变类别和相关的患者元数据.
主要方法:
- 在临床条件下,采集了来自331名受试者使用Android和iOS智能手机摄像头的2,469张口腔粘膜图像.
- 专家牙科外科医生使用VGG图像注释器将图像注释成四个类别:健康/正常,与正常差异,OPMD和OC.
- 记录了详细的患者元数据,包括临床诊断和生活方式风险因素,通过定制的 Jotform,遵守道德准则.
主要成果:
- 该SMART-OM数据集包括2,469张由专家注释的图像,代表健康,正常,OPMD和OC类别的变化.
- 包括关于患者人口统计,临床诊断和生活方式风险因素 (吸烟,酒精,阿雷卡坚果) 的全面元数据.
- 数据集是在符合伦理原则,经过知情同意,根据赫尔辛基宣言收集的.
结论:
- 该SMART-OM数据集为推进AI/ML研究在自动化口腔病变检测方面提供了宝贵的资源.
- 它支持使用真实世界智能手机图像开发用于口腔癌和OPMD的强大的诊断工具.
- 这一数据集有可能加速将AI/ML技术转化为口腔健康查的临床实践.
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