MODID: Multispectral oral disease image dataset with segmentaion

In oral imaging spectroscopy, tissue data is often collected from resected samples, which may not accurately reflect true tissue signatures due to preservation chemicals. To overcome this limitation, we aim to capture in-vivo spectral signatures for oral diseases. Our dataset comprises spectral images acquired in 16 bands, ranging from 460 nm to 600 nm, with a resolution of 270x510 pixels. We collected these images from 91 volunteers, including 15 healthy individuals and 78 patients with various oral health conditions. Detailed patient history records are also included for each case. This publicly available multispectral dataset holds great potential for advancing spectroscopy diagnosis. By leveraging artificial intelligence in conjunction with this robust spectral image repository, more accurate and insightful outcomes can be achieved in the analysis and diagnosis of oral diseases. Access to this comprehensive oral health dataset contributes to enhancing our understanding of tissue spectroscopy variability and facilitates further research in the field of disease analysis.在口腔成像光谱学领域，组织数据通常采集自切除样本，但由于保存试剂的影响，这类样本往往无法准确反映组织的真实光谱特征。为克服这一局限，本研究旨在获取口腔疾病的活体光谱特征。本数据集包含16个波段的光谱图像，波段覆盖范围为460 nm至600 nm，分辨率为270×510像素。我们从91名志愿者身上采集了上述图像，其中包括15名健康个体与78名患有各类口腔疾病的患者。每例样本均附带详细的患者病史记录。这款公开可用的多光谱数据集在推动光谱诊断技术发展方面具有巨大潜力。通过将人工智能与这一可靠的光谱图像库相结合，可在口腔疾病的分析与诊断中获得更为精准且富有洞察力的结果。获取这款全面的口腔健康数据集，有助于加深我们对组织光谱变异特性的认知，并推动疾病分析领域的后续研究。

搜集汇总

背景与挑战

背景概述

MODID是一个多光谱口腔疾病图像数据集，包含来自91名志愿者的244个样本，每个样本包含16个波段（460 nm至600 nm）的多光谱图像。数据集提供了未处理和已处理的数据文件，以及RGB图像和分割掩码，适用于口腔疾病的AI辅助诊断研究。