A U-Net architecture with specialized boundary attention decoder, built on pathology foundation models, reports higher Dice and IoU scores than prior methods for glomeruli segmentation.
Datasets In this study, we used two datasets
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A deep learning framework for glomeruli segmentation with boundary attention
A U-Net architecture with specialized boundary attention decoder, built on pathology foundation models, reports higher Dice and IoU scores than prior methods for glomeruli segmentation.