FH-Seg, a U-Net variant with full-scale skip connections and hierarchical soft attention, reports higher Dice and F1 scores than prior methods on a new 16,212-image renal vasculature dataset.
Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains,
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Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
FH-Seg, a U-Net variant with full-scale skip connections and hierarchical soft attention, reports higher Dice and F1 scores than prior methods on a new 16,212-image renal vasculature dataset.