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most citedHoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation

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eess.IV2025

"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images

Marina D'Amato, Jeroen van der Laak, Francesco Ciompi

Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diagnosis and treatment planning. Multiple Instance Learning (MIL) has emerged as a wi…