A superpixel-driven deep learning approach for the analysis of dermatological wounds (2020)
Blanco, Gustavo; Traina, Agma Juci Machado 
; Traina Junior, Caetano ; Azevedo-Marques, Paulo Mazzoncini de ; Jorge, Ana Elisa Serafim ; Oliveira, Daniel de; Bêdo, Marcos Vinícius Naves
Fonte: Computer Methods and Programs in Biomedicine. Unidades: ICMC, FMRP
Assuntos: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ÚLCERA CUTÂNEA
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BLANCO, Gustavo et al. A superpixel-driven deep learning approach for the analysis of dermatological wounds. Computer Methods and Programs in Biomedicine, v. 183, n. Ja 2020, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2019.105079. Acesso em: 10 nov. 2024.APA
Blanco, G., Traina, A. J. M., Traina Junior, C., Azevedo-Marques, P. M. de, Jorge, A. E. S., Oliveira, D. de, & Bêdo, M. V. N. (2020). A superpixel-driven deep learning approach for the analysis of dermatological wounds. Computer Methods and Programs in Biomedicine, 183( Ja 2020), 1-9. doi:10.1016/j.cmpb.2019.105079NLM
Blanco G, Traina AJM, Traina Junior C, Azevedo-Marques PM de, Jorge AES, Oliveira D de, Bêdo MVN. A superpixel-driven deep learning approach for the analysis of dermatological wounds [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 183( Ja 2020): 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079Vancouver
Blanco G, Traina AJM, Traina Junior C, Azevedo-Marques PM de, Jorge AES, Oliveira D de, Bêdo MVN. A superpixel-driven deep learning approach for the analysis of dermatological wounds [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 183( Ja 2020): 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079
