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1. DualU-Net DualU-Net Public

   DualU-Net is a multi-task deep learning model for nuclei segmentation and classification. It employs a dual-decoder design that predicts both pixel-wise segmentation maps and Gaussian-based centroi…

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2. Evidential-DualU-Net Evidential-DualU-Net Public

   Official research code for “Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation,” accepted as a full paper/poster at MIDL 2026 and published in Proceedings of Machine Learn…

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3. Calibrated-DualU-Net Calibrated-DualU-Net Public