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Trabalho de evento
Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography (2019)
Oliveira, Helder Cesar Rodrigues de; Melo, Carlos Francisco Erbolato; Catani, Juliana H.; Barros, Nestor de; Vieira, Marcelo Andrade da Costa
Source: Proceedings of SPIE. Conference titles: Medical Imaging 2019 : physics of medical imaging. Unidades: FM, EESC
Subjects: MAMOGRAFIA, IMAGEM DIGITAL, APRENDIZADO COMPUTACIONAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder Cesar Rodrigues de et al. Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography. 2019, Anais.. Bellingham, CA, USA: SPIE, 2019. Disponível em: https://doi.org/10.1117/12.2513021. Acesso em: 18 nov. 2024.
APA
Oliveira, H. C. R. de, Melo, C. F. E., Catani, J. H., Barros, N. de, & Vieira, M. A. da C. (2019). Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography. In Proceedings of SPIE (Vol. 10950). Bellingham, CA, USA: SPIE. doi:10.1117/12.2513021
NLM
Oliveira HCR de, Melo CFE, Catani JH, Barros N de, Vieira MA da C. Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography [Internet]. Proceedings of SPIE. 2019 ; 10950[citado 2024 nov. 18 ] Available from: https://doi.org/10.1117/12.2513021
Vancouver
Oliveira HCR de, Melo CFE, Catani JH, Barros N de, Vieira MA da C. Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography [Internet]. Proceedings of SPIE. 2019 ; 10950[citado 2024 nov. 18 ] Available from: https://doi.org/10.1117/12.2513021
Trabalho de evento
Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset (2019)
Costa, Arthur C; Oliveira, Helder Cesar Rodrigues de; Catani, Juliana H; Barros, Nestor de; Melo, Carlos F. E; Vieira, Marcelo Andrade da Costa
Source: IFMBE Proceedings. Conference titles: Brazilian Congress on Biomedical Engineering. Unidades: EESC, FM
Subjects: MAMOGRAFIA, NEOPLASIAS MAMÁRIAS, APRENDIZAGEM PROFUNDA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Arthur C et al. Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset. 2019, Anais.. Singapore: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://repositorio.usp.br/directbitstream/ae99db0e-9613-4c4e-9857-b41536b8ad14/sysno3190509_capitulo%20de%20livro%2003.pdf. Acesso em: 18 nov. 2024.
APA
Costa, A. C., Oliveira, H. C. R. de, Catani, J. H., Barros, N. de, Melo, C. F. E., & Vieira, M. A. da C. (2019). Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset. In IFMBE Proceedings. Singapore: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-981-13-2517-5_24
NLM
Costa AC, Oliveira HCR de, Catani JH, Barros N de, Melo CFE, Vieira MA da C. Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset [Internet]. IFMBE Proceedings. 2019 ;[citado 2024 nov. 18 ] Available from: https://repositorio.usp.br/directbitstream/ae99db0e-9613-4c4e-9857-b41536b8ad14/sysno3190509_capitulo%20de%20livro%2003.pdf
Vancouver
Costa AC, Oliveira HCR de, Catani JH, Barros N de, Melo CFE, Vieira MA da C. Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset [Internet]. IFMBE Proceedings. 2019 ;[citado 2024 nov. 18 ] Available from: https://repositorio.usp.br/directbitstream/ae99db0e-9613-4c4e-9857-b41536b8ad14/sysno3190509_capitulo%20de%20livro%2003.pdf
Artigo de periodico
A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices (2019)
Oliveira, Helder Cesar Rodrigues de; Mencattini, Arianna; Casti, Paola; Catani, Juliana H.; Barros, Nestor de; Gonzaga, Adilson; Martinelli, Eugenio; Vieira, Marcelo A. da Costa
Source: Biomedical signal processing and control. Unidades: FM, EESC
Subjects: MAMOGRAFIA, NEOPLASIAS MAMÁRIAS, INTENSIFICAÇÃO DE IMAGEM RADIOGRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder Cesar Rodrigues de et al. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices. Biomedical signal processing and control, v. 50, p. 92-102, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2019.01.001. Acesso em: 18 nov. 2024.
APA
Oliveira, H. C. R. de, Mencattini, A., Casti, P., Catani, J. H., Barros, N. de, Gonzaga, A., et al. (2019). A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices. Biomedical signal processing and control, 50, 92-102. doi:10.1016/j.bspc.2019.01.001
NLM
Oliveira HCR de, Mencattini A, Casti P, Catani JH, Barros N de, Gonzaga A, Martinelli E, Vieira MA da C. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices [Internet]. Biomedical signal processing and control. 2019 ; 50 92-102.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.bspc.2019.01.001
Vancouver
Oliveira HCR de, Mencattini A, Casti P, Catani JH, Barros N de, Gonzaga A, Martinelli E, Vieira MA da C. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices [Internet]. Biomedical signal processing and control. 2019 ; 50 92-102.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.bspc.2019.01.001

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