PanNuke
PulseAugur coverage of PanNuke — every cluster mentioning PanNuke across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New LSP-DETR framework offers efficient nuclei segmentation for pathology
Researchers have developed LSP-DETR, a novel framework for segmenting cell nuclei in whole-slide images, addressing the computational challenges posed by gigapixel-sized pathology slides. This method utilizes a transfor…
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New PRISM framework improves medical image generation with compositional rewards
Researchers have introduced PRISM, a new framework for generating conditional medical images using Compositional Reward Models (CRMs). Unlike previous methods that relied on a single scalar reward, PRISM decomposes imag…
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New SAFViT module enhances nucleus segmentation in digital pathology
Researchers have introduced SAFViT, a novel Spatial Attention Fusion Gating module designed to enhance nucleus segmentation and classification in digital pathology. This module improves upon existing encoder-decoder arc…
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CellDETR framework advances cell representation learning from histopathology images
Researchers have developed CellDETR, a novel framework designed for scalable cell representation learning from histopathology images. Built upon Deformable DETR, CellDETR utilizes location feature decoupling and box-con…
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AI advances medical image segmentation with new frameworks and techniques · 8 sources tracked
Researchers are developing advanced AI frameworks for medical image segmentation, focusing on improving accuracy and efficiency. Hi-Seg enhances the Segment Anything Model (SAM) for pulmonary nodule segmentation through…