在体内非接触多谱口腔疾病图像数据集与细分
Sneha Chand1, Karthik Namasivayam2, Janak Dave3
1Indian Institute of Technology (IIT) Madras, Department of Electrical Engineering, Chennai, 600036, India. ee19s090@smail.iitm.ac.in.
Scientific data
|November 28, 2024
概括
这项研究引入了一个新的口腔健康多谱数据集,以改善使用成像光谱学的疾病诊断. 该数据集有助于开发人工智能,用于准确分析口腔疾病,如口腔下粘膜纤维化,白血病和口腔状细胞癌.
科学领域:
- 医疗成像医学成像
- 频谱学是一种光谱学.
- 口腔健康 口腔健康
背景情况:
- 由于切割后的变化,ex-vivo光谱数据对口腔组织可能不可靠.
- 活体内光谱成像面临着诸如设备大小,可访问性和运动工件等挑战.
研究的目的:
- 为口腔疾病研究提供一种新的,公开可用的多谱数据集.
- 为了克服外体和内体光谱数据采集的局限性.
主要方法:
- 使用最先进的摄像头 (16 波段,460-600 nm) 获得的多光谱图像.
- 从91名参与者中捕获了243张光谱图像 (15名健康,76名患病).
- 包括口腔下纤维化,白血病和口腔状细胞癌病例的详细病史.
主要成果:
- 成功创建了一个口腔组织光谱图像的全面数据集.
- 该数据集解决了口腔疾病光谱数据采集的先前局限性.
结论:
- 这种口腔健康多谱数据集可以推进光谱诊断方法.
- 与人工智能的集成为精确的口腔疾病分析和诊断提供了潜力.
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