Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography (2019)
- Authors:
- USP affiliated authors: VIEIRA, MARCELO ANDRADE DA COSTA - EESC ; COSTA, ARTHUR CHAVES - EESC ; OLIVEIRA, HELDER CESAR RODRIGUES DE - EESC
- Unidade: EESC
- Subjects: IMAGEM DIGITAL; MAMOGRAFIA; REDES NEURAIS; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: ABFM
- Publisher place: São Paulo, SP
- Date published: 2019
- Source:
- Título: Anais
- Conference titles: Congresso Brasileiro de Física Médica (CBFM)
-
ABNT
COSTA, Arthur Chaves e OLIVEIRA, Helder Cesar Rodrigues de e VIEIRA, Marcelo Andrade da Costa. Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography. 2019, Anais.. São Paulo, SP: ABFM, 2019. . Acesso em: 10 jan. 2026. -
APA
Costa, A. C., Oliveira, H. C. R. de, & Vieira, M. A. da C. (2019). Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography. In Anais. São Paulo, SP: ABFM. -
NLM
Costa AC, Oliveira HCR de, Vieira MA da C. Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography. Anais. 2019 ;[citado 2026 jan. 10 ] -
Vancouver
Costa AC, Oliveira HCR de, Vieira MA da C. Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography. Anais. 2019 ;[citado 2026 jan. 10 ] - Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset
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- Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography
- A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography
- Detecção de distorção arquitetural mamária em mamografia digital utilizando rede neural convolucional profunda
- Digital breast tomosynthesis: new strategies for optimizing acquisition geometry
- Proposta de redução da dose de radiação na mamografia digital utilizando novos algoritmos de filtragem de ruído Poisson
- Novas abordagens para detecção automática de distorção arquitetural na mamografia digital e tomossíntese mamária
- Using the non-local means algorithm to denoise mammographic images acquired with reduced radiation dose
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