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nuclei.io

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software/nuclei-io

nuclei.io: Human-in-the-loop active learning framework for pathology image analysis

Machine-generated from the listed sources and not yet reviewed by a human.

nuclei.io project image
GitHub preview card for huangzhii/nuclei.io. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
huangzhii.github.io/nuclei-HAI/
Repository
github.com/huangzhii/nuclei.io
Documentation
unknown
Tags
ai · medical-imaging · pathology · whole-slide-image
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • GatedSRPmedical-imaging · whole-slide-image

    [BMVC 2026 Oral] Gated Spatial Redundancy Projection for Pathology Transformer Attentions

  • MOOZYmedical-imaging · whole-slide-image

    [ECCV 2026] A Patient-First Foundation Model for Computational Pathology

  • torchmilmedical-imaging · whole-slide-image

    Deep Multiple Instance Learning library for Pytorch

  • histoboardmedical-imaging · pathology

    Pathology FM dashboard centralizing literature and official benchmarks.

  • medical-imagingmedical-imaging · pathology

    Accelerate ingestion/transformation of pathology images into DICOMWeb

  • tcga_segmentationmedical-imaging · pathology

    Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

sources
  1. api.github.com/repos/huangzhii/nuclei.io
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-18, 89 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/8.json→ .entries["nuclei-io"]

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