Nuclei Classification

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Prompting Vision-Language Model for Nuclei Instance Segmentation and Classification
  27 Mar 2025 1 repository listed
  Nuclei instance segmentation and classification are a fundamental and challenging task in whole slide Imaging (WSI) analysis.
• NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
  3 Aug 2024 1 repository listed
  However, our lightest model, NuLite-S, is 40 times smaller in terms of parameters and about 8 times smaller in terms of GFlops, while our heaviest model is 17 times smaller in terms of parameters and about 7 times…
• Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
  18 Apr 2024 1 repository listed
  Our method is based on the principle that if a model is dependent on a feature, then removal of that feature should significantly harm its performance.
• Cell Graph Transformer for Nuclei Classification
  20 Feb 2024 1 repository listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)
  Nuclei classification is a critical step in computer-aided diagnosis with histopathology images.
• DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions
  1 Mar 2023 1 repository listed
  The nuclei segmentation in histology images is challenging in variable conditions (clinical wild), such as poor staining quality, stain variability, tissue variability, and conditions having higher morphological…
• SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images
  9 Feb 2022 1 repository listed
  We show that the proposed network achieves the state-of-the-art performance in both nuclei segmentation and classification in comparison to several methods that are recently developed for segmentation and/or…
• RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
  30 Sep 2018 1 repository listed
  The results of the proposed RCCNet model are compared with five state-of-the-art CNN models in terms of the accuracy, weighted average F1 score and training time.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.