Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

OBJECTIVES: Development of automated segmentation models enabling standardized volumetric quantification of fibroglandular tissue (FGT) from native volumes and background parenchymal enhancement (BPE) from subtraction volumes of dynamic contrast-enhanced breast MRI. Subsequent assessment of the deve...

Descripción completa

Detalles Bibliográficos
Autores principales: Nowakowska, Sylwia, Borkowski, Karol, Ruppert, Carlotta M., Landsmann, Anna, Marcon, Magda, Berger, Nicole, Boss, Andreas, Ciritsis, Alexander, Rossi, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628070/
https://www.ncbi.nlm.nih.gov/pubmed/37932462
http://dx.doi.org/10.1186/s13244-023-01531-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628070/
https://www.ncbi.nlm.nih.gov/pubmed/37932462
http://dx.doi.org/10.1186/s13244-023-01531-5

Ejemplares similares