A superpixel-driven deep learning approach for the analysis of dermatological wounds (2020)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; BLANCO, GUSTAVO - ICMC
- Unidades: ICMC; FMRP
- DOI: 10.1016/j.cmpb.2019.105079
- Subjects: PROCESSAMENTO DE IMAGENS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE IMAGEM; ÚLCERA CUTÂNEA
- Keywords: Deep learning; Superpixel segmentation; Dermatological wounds; Tissue recognition
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computer Methods and Programs in Biomedicine
- ISSN: 0169-2607
- Volume/Número/Paginação/Ano: v. 183, p. 1-9, Jan. 2020
- Este periódico possui versão em assinatura (ou híbrida)
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
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- Versão: submittedVersion
- Evidência: deprecated
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ABNT
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 mar. 2026. -
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.2019.105079 -
NLM
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 2026 mar. 10 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079 -
Vancouver
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 2026 mar. 10 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079 - SuGAR: a framework to support mammogram diagnosis
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