Cross-site Validation of AI Segmentation and Harmonization in Breast MRI.

This work aims to perform a cross-site validation of automated segmentation for breast cancers in MRI and to compare the performance to radiologists. A three-dimensional (3D) U-Net was trained to segment cancers in dynamic contrast-enhanced axial MRIs using a large dataset from Site 1 (n = 15,266; 4...

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Publicado en:	Journal of Imaging Informatics in Medicine Vol. 38; no. 3; pp. 1642 - 1653
Autores principales:	Huang, Yu, Leotta, Nicholas J., Hirsch, Lukas, Gullo, Roberto Lo, Hughes, Mary, Reiner, Jeffrey, Saphier, Nicole B., Myers, Kelly S., Panigrahi, Babita, Ambinder, Emily, Di Carlo, Philip, Grimm, Lars J., Lowell, Dorothy, Yoon, Sora, Ghate, Sujata V., Parra, Lucas C., Sutton, Elizabeth J.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2025
Acceso en línea:	Ver este registro en EBSCOhost