Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours

OBJECTIVE: To evaluate if a deep learning model can be used to characterise breast cancers on contrast-enhanced spectral mammography (CESM). METHODS: This retrospective mono-centric study included biopsy-proven invasive cancers with an enhancement on CESM. CESM images include low-energy images (LE)...

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Detalles Bibliográficos
Autores principales: Dominique, Caroline, Callonnec, Françoise, Berghian, Anca, Defta, Diana, Vera, Pierre, Modzelewski, Romain, Decazes, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800426/
https://www.ncbi.nlm.nih.gov/pubmed/35094119
http://dx.doi.org/10.1007/s00330-022-08538-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800426/
https://www.ncbi.nlm.nih.gov/pubmed/35094119
http://dx.doi.org/10.1007/s00330-022-08538-4

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