Two fully automated data-driven 3D whole-breast segmentation strategies in MRI for MR-based breast density using image registration and U-Net with a focus on reproducibility

Presence of higher breast density (BD) and persistence over time are risk factors for breast cancer. A quantitatively accurate and highly reproducible BD measure that relies on precise and reproducible whole-breast segmentation is desirable. In this study, we aimed to develop a highly reproducible a...

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Detalles Bibliográficos
Autores principales: Ying, Jia, Cattell, Renee, Zhao, Tianyun, Lei, Lan, Jiang, Zhao, Hussain, Shahid M., Gao, Yi, Chow, H.-H. Sherry, Stopeck, Alison T., Thompson, Patricia A., Huang, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554077/
https://www.ncbi.nlm.nih.gov/pubmed/36219359
http://dx.doi.org/10.1186/s42492-022-00121-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554077/
https://www.ncbi.nlm.nih.gov/pubmed/36219359
http://dx.doi.org/10.1186/s42492-022-00121-4

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