Source: Photodiagnosis and Photodynamic Therapy. Unidade: IFSC
Subjects: APRENDIZAGEM PROFUNDA, TERAPIA FOTODINÂMICA, FLUORESCÊNCIA, REDES NEURAIS, PELE
ABNT
ROCHA, Matheus Becali et al. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks. Photodiagnosis and Photodynamic Therapy, v. 52, p. 104462-1-104462-15, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.pdpdt.2024.104462. Acesso em: 15 maio 2025.APA
Rocha, M. B., Pratavieira, S., Vieira, R. S., Geller, J. D., Stein, A. L. M., Oliveira, F. S. S. de, et al. (2025). Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks. Photodiagnosis and Photodynamic Therapy, 52, 104462-1-104462-15. doi:10.1016/j.pdpdt.2024.104462NLM
Rocha MB, Pratavieira S, Vieira RS, Geller JD, Stein ALM, Oliveira FSS de, Canuto TRP, Vieira L de P, Rossoni R, Santos MCS, Frasson PHL, Frasson PHL, Krohling RA. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; 52 104462-1-104462-15.[citado 2025 maio 15 ] Available from: https://doi.org/10.1016/j.pdpdt.2024.104462Vancouver
Rocha MB, Pratavieira S, Vieira RS, Geller JD, Stein ALM, Oliveira FSS de, Canuto TRP, Vieira L de P, Rossoni R, Santos MCS, Frasson PHL, Frasson PHL, Krohling RA. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; 52 104462-1-104462-15.[citado 2025 maio 15 ] Available from: https://doi.org/10.1016/j.pdpdt.2024.104462