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.
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%0 Journal Article
%1 journals/vciba/YingCZLJHGCSTH22
%A Ying, Jia
%A Cattell, Renee
%A Zhao, Tianyun
%A Lei, Lan
%A Jiang, Zhao
%A Hussain, Shahid M.
%A Gao, Yi
%A Chow, H.-H. Sherry
%A Stopeck, Alison T.
%A Thompson, Patricia A.
%A Huang, Chuan
%D 2022
%J Vis. Comput. Ind. Biomed. Art
%K dblp
%N 1
%P 25
%T 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.
%U http://dblp.uni-trier.de/db/journals/vciba/vciba5.html#YingCZLJHGCSTH22
%V 5
@article{journals/vciba/YingCZLJHGCSTH22,
added-at = {2024-10-06T00:00:00.000+0200},
author = {Ying, Jia and Cattell, Renee and Zhao, Tianyun and Lei, Lan and Jiang, Zhao and Hussain, Shahid M. and Gao, Yi and Chow, H.-H. Sherry and Stopeck, Alison T. and Thompson, Patricia A. and Huang, Chuan},
biburl = {https://www.bibsonomy.org/bibtex/2f82a76aaaf5f367618a7bdb130f7d140/dblp},
ee = {https://doi.org/10.1186/s42492-022-00121-4},
interhash = {0b29aca6492a5f65abe8bc6488f38e2f},
intrahash = {f82a76aaaf5f367618a7bdb130f7d140},
journal = {Vis. Comput. Ind. Biomed. Art},
keywords = {dblp},
number = 1,
pages = 25,
timestamp = {2024-10-07T07:45:38.000+0200},
title = {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.},
url = {http://dblp.uni-trier.de/db/journals/vciba/vciba5.html#YingCZLJHGCSTH22},
volume = 5,
year = 2022
}
