Rey-Barroso, L.; Vilaseca, M.; Royo, S.; DÃaz-Doutón, F.; Lihacova, I.; Bondarenko, A.; Burgos-Fernández, F.J.
Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis. Diagnostics 2025, 15, 355.
https://doi.org/10.3390/diagnostics15030355
AMA Style
Rey-Barroso L, Vilaseca M, Royo S, DÃaz-Doutón F, Lihacova I, Bondarenko A, Burgos-Fernández FJ.
Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis. Diagnostics. 2025; 15(3):355.
https://doi.org/10.3390/diagnostics15030355
Chicago/Turabian Style
Rey-Barroso, Laura, Meritxell Vilaseca, Santiago Royo, Fernando DÃaz-Doutón, Ilze Lihacova, Andrey Bondarenko, and Francisco J. Burgos-Fernández.
2025. "Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis" Diagnostics 15, no. 3: 355.
https://doi.org/10.3390/diagnostics15030355
APA Style
Rey-Barroso, L., Vilaseca, M., Royo, S., DÃaz-Doutón, F., Lihacova, I., Bondarenko, A., & Burgos-Fernández, F. J.
(2025). Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis. Diagnostics, 15(3), 355.
https://doi.org/10.3390/diagnostics15030355
