Automatic Segmentation of Breast and Fibroglandular Tissues in DCE-MR Images Based on nnU-Net

Segmentation of whole breast and fibroglandular tissue (FGT) is an important task for quantitative analysis of breast cancer risk in dynamic contrast enhanced magnetic resonance (DCE-MR) images. In this study, an automated segmentation model based on nnU-Net is proposed to segment the whole breast a...

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Bibliographic Details

Published in:	Chinese Journal of Magnetic Resonance
Main Authors:	Lu HUO, Xiao-xin HU, Qin XIAO, Ya-jia GU, Xu CHU, Luan JIANG
Format:	Article
Language:	Chinese
Published:	Science Press 2021-09-01
Subjects:	breast dynamic contrast enhanced magnetic resonance image breast segmentation fibroglandular tissue segmentation deep learning nnu-net model
Online Access:	http://121.43.60.238/bpxzz/article/2021/1000-4556/20210308.shtml