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breast-epithelium-segmentation

imported

software/breast-epithelium-segmentation

🌸 Breast epithelium segmentation through IHC-guided supervision

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
AICAN-Research
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
benign · breast-cancer · cytokeratin · deep-learning · digital-pathology · eosin · epithelium · fastpathology
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.

  • FAST-Pathologydigital-pathology · fastpathology

    ⚡ Open-source software for deep learning-based digital pathology

  • FP-DSA-plugindigital-pathology · fastpathology

    Digital Slide Archive plugin to enable FAST deployment of pretrained CNNs for digital pathology

  • NoCodeSegdigital-pathology · fastpathology

    🔬 Code-free deep segmentation for computational pathology

  • H2G-Netbreast-cancer · digital-pathology

    🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

  • HiPSbreast-cancer · digital-pathology

    Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

  • MuTILs_Panopticbreast-cancer · digital-pathology

    Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.

sources
  1. api.github.com/repos/AICAN-Research/breast-epithelium-segmentation
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-04-23, 11 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/26.json→ .entries["breast-epithelium-segmentation"]

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