A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices (2019)
- Authors:
- USP affiliated authors: BARROS, NESTOR DE - FM ; GONZAGA, ADILSON - EESC ; VIEIRA, MARCELO ANDRADE DA COSTA - EESC ; OLIVEIRA, HELDER CESAR RODRIGUES DE - EESC
- Unidades: FM; EESC
- DOI: 10.1016/j.bspc.2019.01.001
- Subjects: MAMOGRAFIA; NEOPLASIAS MAMÁRIAS; INTENSIFICAÇÃO DE IMAGEM RADIOGRÁFICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Biomedical signal processing and control
- ISSN: 1746-8094
- Volume/Número/Paginação/Ano: v. 50, p. 92-102, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 28 set. 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 set. 28 ] 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 set. 28 ] Available from: https://doi.org/10.1016/j.bspc.2019.01.001 - A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography
- Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography
- Detection of architectural distortion with deep convolutional neural network and data augmentation of limited dataset
- 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
- Evaluation of block-matching and 3D filtering and wavelet transform with shrink-thresholding technique for digital mammography denoising
- Using the non-local means algorithm to denoise mammographic images acquired with reduced radiation dose
- Proposta de redução da dose de radiação na mamografia digital utilizando novos algoritmos de filtragem de ruído Poisson
Informações sobre o DOI: 10.1016/j.bspc.2019.01.001 (Fonte: oaDOI API)
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