NIR-SC-UFES: A portable NIR spectral dataset to skin cancer in vivo

In recent advancements, computer-aided diagnostic (CAD) for skin lesions using images and metadata has grown, yet it lacks details on lesion molecular structure. NIR spectroscopy offers unseen insights for CAD. Given skin cancer's severity and the need for early detection, the absence of public datasets hampers machine and deep learning (MDL) applications in spectroscopy. Addressing this gap, UFES's Dermatology Assistance Program developed the NIR-SC-UFES dataset, capturing 714 NIR spectra spanning benign conditions and skin cancers. This resource aims to empower researchers in AI and Chemometrics for enhanced automated skin cancer diagnosis.