"Two fully automated data-driven 3D whole-breast segmentation strategies in ..."

Jia Ying et al. (2022)

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DOI: 10.1186/S42492-022-00121-4

access: open

type: Journal Article

metadata version: 2024-10-06

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  - journals/vciba/YingCZLJHGCSTH22
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  - https://dblp.org/rec/journals/vciba/YingCZLJHGCSTH22
Jia Ying, Renee Cattell, Tianyun Zhao, Lan Lei, Zhao Jiang, Shahid M. Hussain, Yi Gao, H.-H. Sherry Chow, Alison T. Stopeck, Patricia A. Thompson, Chuan Huang:
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. Vis. Comput. Ind. Biomed. Art 5(1): 25 (2022)

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