Researchers have developed a new framework called Chain-of-Prompts (CoP) that significantly improves cell instance segmentation in histopathology images. This training-free method requires only a single click per cell type, drastically reducing the cost compared to per-instance prompting. CoP leverages the existing feature clustering of foundation models like SAM to identify and segment all instances of a given cell type efficiently, achieving over 90% of per-instance performance with minimal user input. AI
RANK_REASON The cluster contains a research paper detailing a new method for cell instance segmentation. [lever_c_demoted from research: ic=1 ai=1.0]
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