DyMorph-B2I combines watershed, skeletonization, and morphology with per-image tuning to separate renal structures from binary masks, but its evaluation is circular because tuning uses the ground-truth object counts.
Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging,
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DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology
DyMorph-B2I combines watershed, skeletonization, and morphology with per-image tuning to separate renal structures from binary masks, but its evaluation is circular because tuning uses the ground-truth object counts.