Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach

OBJECTIVE: Breast arterial calcifications (BAC) are a sex-specific cardiovascular disease biomarker that might improve cardiovascular risk stratification in women. We implemented a deep convolutional neural network for automatic BAC detection and quantification. METHODS: In this retrospective study,...

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Detalles Bibliográficos
Autores principales: Mobini, Nazanin, Codari, Marina, Riva, Francesca, Ienco, Maria Giovanna, Capra, Davide, Cozzi, Andrea, Carriero, Serena, Spinelli, Diana, Trimboli, Rubina Manuela, Baselli, Giuseppe, Sardanelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511622/
https://www.ncbi.nlm.nih.gov/pubmed/37160426
http://dx.doi.org/10.1007/s00330-023-09668-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511622/
https://www.ncbi.nlm.nih.gov/pubmed/37160426
http://dx.doi.org/10.1007/s00330-023-09668-z

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