CellPrior-Net integrates hematoxylin channel prior into a lightweight CNN for nuclei detection and classification in H&E WSIs, claiming comparable accuracy to SOTA with significantly reduced inference time across 10.4M nuclei from diverse datasets.
Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review,
2 Pith papers cite this work. Polarity classification is still indexing.
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GMN4AD applies graph matching and test-time contrastive adaptation to improve Alzheimer's diagnosis accuracy on heterogeneous multi-center sMRI datasets.
citing papers explorer
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CellPrior-Net: Prior-Guided Nuclei Detection and Classification for H&E Whole-Slide Images
CellPrior-Net integrates hematoxylin channel prior into a lightweight CNN for nuclei detection and classification in H&E WSIs, claiming comparable accuracy to SOTA with significantly reduced inference time across 10.4M nuclei from diverse datasets.
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GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging
GMN4AD applies graph matching and test-time contrastive adaptation to improve Alzheimer's diagnosis accuracy on heterogeneous multi-center sMRI datasets.