@article {aHernandez,
	title = {Bcn20000: Dermoscopic lesions in the wild},
	journal = {Nature - Scientific Data},
	volume = {11},
	year = {2024},
	month = {06/2024},
	abstract = {<p><span style="color: $\#$222222; font-family: -apple-system, {\textquoteright}system-ui{\textquoteright}, {\textquoteright}Segoe UI{\textquoteright}, Roboto, Oxygen-Sans, Ubuntu, Cantarell, {\textquoteright}Helvetica Neue{\textquoteright}, sans-serif; font-size: 14px;">Advancements in dermatological artificial intelligence research require high-quality and comprehensive datasets that mirror real-world clinical scenarios. We introduce a collection of 18,946 dermoscopic images spanning from 2010 to 2016, collated at the Hospital Cl{\'\i}nic in Barcelona, Spain. The BCN20000 dataset aims to address the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions in hard-to-diagnose locations such as those found in nails and mucosa, large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. Our dataset covers eight key diagnostic categories in dermoscopy, providing a diverse range of lesions for artificial intelligence model training. Furthermore, a ninth out-of-distribution (OOD) class is also present on the test set, comprised of lesions which could not be distinctively classified as any of the others. By providing a comprehensive collection of varied images, BCN20000 helps bridge the gap between the training data for machine learning models and the day-to-day practice of medical practitioners. Additionally, we present a set of baseline classifiers based on state-of-the-art neural networks, which can be extended by other researchers for further experimentation.</span></p>},
	doi = {https://doi.org/10.1038/s41597-024-03387-w},
	author = {Carlos Hernandez and Marc Combalia and Sebastian Podlipnik and Noel CF Codella and Veronica Rotemberg and Allan C Halpern and Ofer Reiter and Cristina Carrera and Alicia Barreiro and Brian Helba and Susana Puig and Ver{\'o}nica Vilaplana and Josep Malvehy}
}
