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Editorial
. 2024 Jun;59(6):2263-2264.
doi: 10.1002/jmri.28957. Epub 2023 Aug 14.

Editorial for "3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation"

Luísa Nogueira  1   2   3 , Nuno Adubeiro  1   2   3 , Rita G Nunes  4
Affiliations
Editorial

Editorial for "3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation"

Luísa Nogueira et al. J Magn Reson Imaging. 2024 Jun.
No abstract available

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References

    1. Mann RM, Cho N, Moy L. Breast MRI: State of the art. Radiology 2019;292(3):520‐536.
    1. Marino MA, Helbich T, Baltzer P, Pinker‐Domenig K. Multiparametric MRI of the breast: A review. J Magn Reson Imaging 2018;47(2):301‐315.
    1. Khaled R, Vidal J, Vilanova JC, Martí R. A U‐Net ensemble for breast lesion segmentation in DCE MRI. Comput Biol Med 2021;140:105093.
    1. Hatamizadeh A, Yang D, Roth HR, Xu D. UNETR: Transformers for 3D medical image segmentation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2021;1748–1758.
    1. Park GE, Kim SH, Nam Y, Kang J, Park M, Kang BJ. 3D breast cancer segmentation in DCE‐MRI using deep learning with weak annotation. J Magn Reson Imaging 2024;59:2252‐2262.

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