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.