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LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole-Slide Images

Pekár, Matěj et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Background and Objective: Precise and scalable instance segmentation of cell nuclei is a fundamental prerequisite for computational pathology, yet gigapixel whole-slide images (WSIs) pose significant computational challenges. While patch-based processing is standard during training, existing methods
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