The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that...

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Main Authors: Nicholas R. Kurtansky, Brian M. D’Alessandro, Maura C. Gillis, Brigid Betz-Stablein, Sara E. Cerminara, Rafael Garcia, Marcela Alves Girundi, Elisabeth Victoria Goessinger, Philippe Gottfrois, Pascale Guitera, Allan C. Halpern, Valerie Jakrot, Harald Kittler, Kivanc Kose, Konstantinos Liopyris, Josep Malvehy, Victoria J. Mar, Linda K. Martin, Thomas Mathew, Lara Valeska Maul, Adam Mothershaw, Alina M. Mueller, Christoph Mueller, Alexander A. Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Anup Saha, Maithili Sashindranath, Laura Serra-García, H. Peter Soyer, Georgios Theocharis, Ayesha Vos, Jochen Weber, Veronica Rotemberg
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-03743-w

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https://doi.org/10.1038/s41597-024-03743-w

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