Co-Seg jointly segments tissue and nuclei in histopathology images by feeding each task's mask predictions to the other as prompts, setting new state-of-the-art benchmarks on the PUMA melanoma dataset.
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Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation
Co-Seg jointly segments tissue and nuclei in histopathology images by feeding each task's mask predictions to the other as prompts, setting new state-of-the-art benchmarks on the PUMA melanoma dataset.