Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial (2022)
- Authors:
- USP affiliated authors: MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; BORGES, LUCAS RODRIGUES - EESC ; VIEIRA, MARCELO ANDRADE DA COSTA - EESC
- Unidades: FMRP; EESC
- DOI: 10.1117/12.2626629
- Subjects: IMAGEM DIGITAL; MAMOGRAFIA; RADIAÇÃO (CALOR); RADIAÇÃO (CALOR)
- Language: Inglês
- Imprenta:
- Publisher place: Bellingham
- Date published: 2022
- Source:
- Título: SPIE - International Society for Optical Engineering. Proceedings
- ISSN: 0277-786X
- Volume/Número/Paginação/Ano: v. 12286, on-line, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BORGES, Lucas Rodrigues et al. Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial. SPIE - International Society for Optical Engineering. Proceedings. Bellingham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1117/12.2626629. Acesso em: 01 mar. 2026. , 2022 -
APA
Borges, L. R., Brochi, M. A., Vieira, M. A. C., & Azevedo-Marques, P. M. de. (2022). Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial. SPIE - International Society for Optical Engineering. Proceedings. Bellingham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1117/12.2626629 -
NLM
Borges LR, Brochi MA, Vieira MAC, Azevedo-Marques PM de. Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial [Internet]. SPIE - International Society for Optical Engineering. Proceedings. 2022 ; 12286[citado 2026 mar. 01 ] Available from: https://doi.org/10.1117/12.2626629 -
Vancouver
Borges LR, Brochi MA, Vieira MAC, Azevedo-Marques PM de. Denoising of mammograms subject to structural and spatially-correlated noise: a virtual clinical trial [Internet]. SPIE - International Society for Optical Engineering. Proceedings. 2022 ; 12286[citado 2026 mar. 01 ] Available from: https://doi.org/10.1117/12.2626629 - Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise
- Effect of denoising on the localization of microcalcification clusters in digital mammography
- Noise models for virtual clinical trials of digital breast tomosynthesis
- Unbiased injection of signal-dependent noise in variance-stabilized range
- A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography
- Open-source reconstruction toolbox for digital breast tomosynthesis
- Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography
- Método de simulação da redução da dose de radiação na mamografia digital a partir da análise das características do ruído dos equipamentos mamográficos
- Dose savings in digital breast tomosynthesis through image processing
- Evaluation of block-matching and 3D filtering and wavelet transform with shrink-thresholding technique for digital mammography denoising
Informações sobre o DOI: 10.1117/12.2626629 (Fonte: oaDOI API)
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