Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: a radiomics approach (2025)
- Authors:
- USP affiliated authors: VIEIRA, MARCELO ANDRADE DA COSTA - EESC ; NERSISSIAN, DENISE YANIKIAN - IF ; BORGES, LUCAS RODRIGUES - EESC ; SOARES, LUCAS EXPOSTO - EESC
- Unidades: EESC; IF
- DOI: 10.1002/mp.18061
- Assunto: ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Hoboken, NJ, USA
- Date published: 2025
- Source:
- Título: Medical Physics
- ISSN: 0094-2405
- Volume/Número/Paginação/Ano: v. 52, article e18061, p. 1-15, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SOARES, Lucas Exposto et al. Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: a radiomics approach. Medical Physics, v. 52, p. 1-15, 2025Tradução . . Disponível em: http://dx.doi.org/10.1002/mp.18061. Acesso em: 01 mar. 2026. -
APA
Soares, L. E., Borges, L. R., Caron, R. F., Nersissian, D. Y., & Vieira, M. A. da C. (2025). Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: a radiomics approach. Medical Physics, 52, 1-15. doi:10.1002/mp.18061 -
NLM
Soares LE, Borges LR, Caron RF, Nersissian DY, Vieira MA da C. Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: a radiomics approach [Internet]. Medical Physics. 2025 ; 52 1-15.[citado 2026 mar. 01 ] Available from: http://dx.doi.org/10.1002/mp.18061 -
Vancouver
Soares LE, Borges LR, Caron RF, Nersissian DY, Vieira MA da C. Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: a radiomics approach [Internet]. Medical Physics. 2025 ; 52 1-15.[citado 2026 mar. 01 ] Available from: http://dx.doi.org/10.1002/mp.18061 - Exploring the impact of image restoration in simulating higher dose mammography: effects on the detectability of microcalcifications across different sizes using model observer analysis
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- Application of image processing techniques to aid in the detection of vertical root fractures in digital periapical radiography
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- 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
- Open-source reconstruction toolbox for digital breast tomosynthesis
- Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography
Informações sobre o DOI: 10.1002/mp.18061 (Fonte: oaDOI API)
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