Hybrid k-space and image-space deep learning models improve robustness of breast lesion segmentation under MRI undersampling and k-space noise while matching image-space performance at full sampling.
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans,
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Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
Hybrid k-space and image-space deep learning models improve robustness of breast lesion segmentation under MRI undersampling and k-space noise while matching image-space performance at full sampling.