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.
Glomerulosclerosis identification in whole slide images using semantic segmentation
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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.