Automated deep learning method for whole‐breast segmentation in diffusion‐weighted breast MRI

Diffusion‐weighted imaging (DWI) in MRI plays an increasingly important role in diagnostic applications and developing imaging biomarkers. Automated whole‐breast segmentation is an important yet challenging step for quantitative breast imaging analysis. While methods have been developed on dynamic contrast‐enhanced (DCE) MRI, automatic whole‐breast segmentation in breast DWI MRI is still underdeveloped.

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