most citedUsing the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

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cs.CV2022★ 2 cited

Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis

Marin Benčević, Marija Habijan, Irena Galić +1

One of the largest problems in medical image processing is the lack of annotated data. Labeling medical images often requires highly trained experts and can be a time-consuming pro…