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H&E, Pattern Recognition, Spatial analysis

cellNN: Unveiling Local CellArrangement Pattern with Graph-based Signatures to Perform Cell Spatial Analysis in Crohn’s Disease

by Shunxing Bao Posted on November 12, 2023November 30, 2023

This is the official implementation for cellNN, based on the work of “Cell Spatial Analysis […]

Recent Code and Models

  • cellNN: Unveiling Local CellArrangement Pattern with Graph-based Signatures to Perform Cell Spatial Analysis in Crohn’s Disease November 12, 2023
  • Random-walk: Alleviating tiling effect in high-resolution histological whole slide image synthesis November 12, 2023
  • PixN2N-HD: Image Synthesis for Multiplexed Immunofluorescence Imaging November 12, 2023
  • MemSeg: Topological-Preserving Membrane Skeleton Segmentation in Multiplex Immunofluorescence Imaging November 12, 2023
  • MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging November 12, 2023
  • GCA-informatics: A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data November 12, 2023
  • CoNIC: Nucleus subtype classification using inter-modality learning November 12, 2023
  • GDL: Exploring shared memory architectures for end-to-end gigapixel deep learning November 12, 2023
  • Tangram: Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data November 10, 2023
  • SAM: Segment anything model (SAM) for digital pathology: Assess zero-shot segmentation on whole slide imaging November 10, 2023
  • UAD: feasibility of universal anomaly detection without kKnowing the abnormality in medical images November 10, 2023
  • CSMIL: cross-scale multi-instance learning for pathological image diagnosis November 9, 2023
  • Omni-Seg: a scale-aware dynamic network for pathological image segmentation November 9, 2023

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