A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography (2020)
- Authors:
- USP affiliated authors: VIEIRA, MARCELO ANDRADE DA COSTA - EESC ; GONZAGA, ADILSON - EESC ; OLIVEIRA, HELDER CESAR RODRIGUES DE - EESC
- Unidade: EESC
- DOI: 10.1007/s10278-020-00391-5
- Subjects: ENGENHARIA ELÉTRICA; MAMOGRAFIA; IMAGEM DIGITAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: New York, NY, USA
- Date published: 2020
- Source:
- Título: Journal of Digital Imaging
- ISSN: 0897-1889
- Volume/Número/Paginação/Ano: Inpress, p. 1-17, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
PEREIRA JUNIOR, Osmando et al. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10278-020-00391-5. Acesso em: 20 out. 2024. -
APA
Pereira Junior, O., Oliveira, H. C. R. de, Ferraz, C. T., Saito, J. H., Vieira, M. A. da C., & Gonzaga, A. (2020). A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, 1-17. doi:10.1007/s10278-020-00391-5 -
NLM
Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 out. 20 ] Available from: https://doi.org/10.1007/s10278-020-00391-5 -
Vancouver
Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 out. 20 ] Available from: https://doi.org/10.1007/s10278-020-00391-5 - A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices
- Detection of architectural distortion in digitized screen-film mammograms using texture descriptors
- A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images
- Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography
- Data augmentation: effect in deep convolutional neural network for the detection of architectural distortion in digital mammography
- Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography
- Evaluation of block-matching and 3D filtering and wavelet transform with shrink-thresholding technique for digital mammography denoising
- Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset
- 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
Informações sobre o DOI: 10.1007/s10278-020-00391-5 (Fonte: oaDOI API)
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