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Artigo de periodico
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
Source: Computer Methods and Programs in Biomedicine. Unidades: ICMC, FMRP
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ÚLCERA CUTÂNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 dez. 2025.
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 2025 dez. 05 ] 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 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079
Artigo de periodico
Segmenting skin ulcers and measuring the wound area using deep convolutional networks (2020)
Chino, Daniel Yoshinobu Takada ; Scabora, Lucas de Carvalho ; Cazzolato, Mirela Teixeira ; Jorge, Ana Elisa Serafim ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Computer Methods and Programs in Biomedicine. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, ÚLCERA CUTÂNEA, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHINO, Daniel Yoshinobu Takada et al. Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Computer Methods and Programs in Biomedicine, v. 191, p. 1-11, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2020.105376. Acesso em: 05 dez. 2025.
APA
Chino, D. Y. T., Scabora, L. de C., Cazzolato, M. T., Jorge, A. E. S., Traina Junior, C., & Traina, A. J. M. (2020). Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Computer Methods and Programs in Biomedicine, 191, 1-11. doi:10.1016/j.cmpb.2020.105376
NLM
Chino DYT, Scabora L de C, Cazzolato MT, Jorge AES, Traina Junior C, Traina AJM. Segmenting skin ulcers and measuring the wound area using deep convolutional networks [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 191 1-11.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2020.105376
Vancouver
Chino DYT, Scabora L de C, Cazzolato MT, Jorge AES, Traina Junior C, Traina AJM. Segmenting skin ulcers and measuring the wound area using deep convolutional networks [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 191 1-11.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2020.105376
Artigo de periodico
A hands-on approach for fitting long-term survival models under the GAMLSS framework (2010)
Castro, Mário de ; Cancho, Vicente Garibay ; Rodrigues, Josemar
Source: Computer Methods and Programs in Biomedicine. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Mário de e CANCHO, Vicente Garibay e RODRIGUES, Josemar. A hands-on approach for fitting long-term survival models under the GAMLSS framework. Computer Methods and Programs in Biomedicine, v. 97, n. 2, p. 168-177, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2009.08.002. Acesso em: 05 dez. 2025.
APA
Castro, M. de, Cancho, V. G., & Rodrigues, J. (2010). A hands-on approach for fitting long-term survival models under the GAMLSS framework. Computer Methods and Programs in Biomedicine, 97( 2), 168-177. doi:10.1016/j.cmpb.2009.08.002
NLM
Castro M de, Cancho VG, Rodrigues J. A hands-on approach for fitting long-term survival models under the GAMLSS framework [Internet]. Computer Methods and Programs in Biomedicine. 2010 ;97( 2): 168-177.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2009.08.002
Vancouver
Castro M de, Cancho VG, Rodrigues J. A hands-on approach for fitting long-term survival models under the GAMLSS framework [Internet]. Computer Methods and Programs in Biomedicine. 2010 ;97( 2): 168-177.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2009.08.002
Artigo de periodico
Mumford-shah algorithm applied to videokeratography image processing and consequences to refractive power values (2007)
Florindo, João Batista; Soares, Sérgio Henrique Monari ; Carvalho, Luís Alberto Vieira de; Bruno, Odemir Martinez
Source: Computer Methods and Programs in Biomedicine. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLORINDO, João Batista et al. Mumford-shah algorithm applied to videokeratography image processing and consequences to refractive power values. Computer Methods and Programs in Biomedicine, v. 87, n. 1, p. 61-67, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2007.04.002. Acesso em: 05 dez. 2025.
APA
Florindo, J. B., Soares, S. H. M., Carvalho, L. A. V. de, & Bruno, O. M. (2007). Mumford-shah algorithm applied to videokeratography image processing and consequences to refractive power values. Computer Methods and Programs in Biomedicine, 87( 1), 61-67. doi:10.1016/j.cmpb.2007.04.002
NLM
Florindo JB, Soares SHM, Carvalho LAV de, Bruno OM. Mumford-shah algorithm applied to videokeratography image processing and consequences to refractive power values [Internet]. Computer Methods and Programs in Biomedicine. 2007 ; 87( 1): 61-67.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2007.04.002
Vancouver
Florindo JB, Soares SHM, Carvalho LAV de, Bruno OM. Mumford-shah algorithm applied to videokeratography image processing and consequences to refractive power values [Internet]. Computer Methods and Programs in Biomedicine. 2007 ; 87( 1): 61-67.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2007.04.002
Artigo de periodico
Spatial and frequency domain techniques for segmentation of placido images and accuracy implications for videokeratography (2005)
Carvalho, Luís Alberto Vieira de; Bruno, Odemir Martinez
Source: Computer Methods and Programs in Biomedicine. Unidades: ICMC, IFSC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Luís Alberto Vieira de e BRUNO, Odemir Martinez. Spatial and frequency domain techniques for segmentation of placido images and accuracy implications for videokeratography. Computer Methods and Programs in Biomedicine, v. 79, p. 111-119, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2005.01.006. Acesso em: 05 dez. 2025.
APA
Carvalho, L. A. V. de, & Bruno, O. M. (2005). Spatial and frequency domain techniques for segmentation of placido images and accuracy implications for videokeratography. Computer Methods and Programs in Biomedicine, 79, 111-119. doi:10.1016/j.cmpb.2005.01.006
NLM
Carvalho LAV de, Bruno OM. Spatial and frequency domain techniques for segmentation of placido images and accuracy implications for videokeratography [Internet]. Computer Methods and Programs in Biomedicine. 2005 ; 79 111-119.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2005.01.006
Vancouver
Carvalho LAV de, Bruno OM. Spatial and frequency domain techniques for segmentation of placido images and accuracy implications for videokeratography [Internet]. Computer Methods and Programs in Biomedicine. 2005 ; 79 111-119.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.cmpb.2005.01.006

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