House Reconciliation Bill Proposes Deepest SNAP Cut in History, Would Take Food Assistance Away From Millions of Low-Income Families More Than 2 Million Children Live in Households That Would Lose at ...
Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...
Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...
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