NIR-SC-UFES: A portable NIR spectral dataset to skin cancer in vivo
Published: 18 January 2024| Version 1 | DOI: 10.17632/j9773cyr3k.1
Contributors:
Pedro Henrique Pereira da Cunha, , Francine D. Santos, , , Tania R. P. Canuto, Luciana de Paula Vieira, , Wanderson Romão, , , Description
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.
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Institutions
Universidade Federal do Espirito Santo
Categories
Artificial Intelligence, Skin Cancer, Near Infrared Spectroscopy, Chemometrics, Cancer Research, In Vivo Diagnostics, Clinical Data Collection