most citedLeverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning

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cs.CV2025

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model

Xueyuan Li, Can Cui, Ruining Deng +7

Purpose: Recent developments in computational pathology have been driven by advances in Vision Foundation Models, particularly the Segment Anything Model (SAM). This model facilita…