Open-source reconstruction toolbox for digital breast tomosynthesis (2019)
- Authors:
- USP affiliated authors: VIEIRA, MARCELO ANDRADE DA COSTA - EESC ; VIMIEIRO, RODRIGO DE BARROS - EESC ; BORGES, LUCAS RODRIGUES - FMRP
- Unidades: EESC; FMRP
- DOI: 10.1007/978-981-13-2517-5_53
- Subjects: TOMOGRAFIA; PROCESSAMENTO DE IMAGENS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: IFMBE Proceedings
- Conference titles: Brazilian Congress on Biomedical Engineering
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VIMIEIRO, Rodrigo de Barros e BORGES, Lucas Rodrigues e VIEIRA, Marcelo Andrade da Costa. Open-source reconstruction toolbox for digital breast tomosynthesis. 2019, Anais.. Singapore: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://repositorio.usp.br/directbitstream/4be4a80a-45cb-4174-82c2-67e47a94f800/sysno3190392_capitulo%20de%20livro%2002.pdf. Acesso em: 01 mar. 2026. -
APA
Vimieiro, R. de B., Borges, L. R., & Vieira, M. A. da C. (2019). Open-source reconstruction toolbox for digital breast tomosynthesis. In IFMBE Proceedings. Singapore: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-981-13-2517-5_53 -
NLM
Vimieiro R de B, Borges LR, Vieira MA da C. Open-source reconstruction toolbox for digital breast tomosynthesis [Internet]. IFMBE Proceedings. 2019 ;[citado 2026 mar. 01 ] Available from: https://repositorio.usp.br/directbitstream/4be4a80a-45cb-4174-82c2-67e47a94f800/sysno3190392_capitulo%20de%20livro%2002.pdf -
Vancouver
Vimieiro R de B, Borges LR, Vieira MA da C. Open-source reconstruction toolbox for digital breast tomosynthesis [Internet]. IFMBE Proceedings. 2019 ;[citado 2026 mar. 01 ] Available from: https://repositorio.usp.br/directbitstream/4be4a80a-45cb-4174-82c2-67e47a94f800/sysno3190392_capitulo%20de%20livro%2002.pdf - Evaluating the simulation of radiation dose reduction in a digital breast tomosynthesis system featuring an amorphous silicon (a-Si) detector
- Evaluating the simulation of radiation dose reduction in a digital breast tomosynthesis system featuring an amorphous silicon (a-Si) detector
- Bayesian reconstruction for digital breast tomosynthesis using a non-local Gaussian Markov random field a priori model
- Noise measurements from reconstructed digital breast tomosynthesis
- Noise models for virtual clinical trials of digital breast tomosynthesis
- Unbiased injection of signal-dependent noise in variance-stabilized range
- Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise
- Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial
- Effect of denoising on the localization of microcalcification clusters in digital mammography
- Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography
Informações sobre o DOI: 10.1007/978-981-13-2517-5_53 (Fonte: oaDOI API)
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