Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis

We aimed to predict molecular subtypes of breast cancer using radiomics signatures extracted from synthetic mammography reconstructed from digital breast tomosynthesis (DBT). A total of 365 patients with invasive breast cancer with three different molecular subtypes (luminal A + B, luminal; HER2-pos...

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Detalles Bibliográficos
Autores principales: Son, Jinwoo, Lee, Si Eun, Kim, Eun-Kyung, Kim, Sungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726048/
https://www.ncbi.nlm.nih.gov/pubmed/33299040
http://dx.doi.org/10.1038/s41598-020-78681-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726048/
https://www.ncbi.nlm.nih.gov/pubmed/33299040
http://dx.doi.org/10.1038/s41598-020-78681-9

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