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FAST-Pathology

imported

software/fast-pathology

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

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

record
Category
Software & Systems
Subcategory
unknown
License
BSD-2-Clause(osi)
Status
dormant
Maturity
deployed
Organization
AICAN-Research
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
computational-pathology · convolutional-neural-networks · cplusplus · deep-learning · deployment · digital-pathology · fastpathology · free-to-use
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.

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  • H2G-Netcomputational-pathology · convolutional-neural-networks · digital-pathology

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

  • breast-epithelium-segmentationdigital-pathology · fastpathology

    🌸 Breast epithelium segmentation through IHC-guided supervision

  • FP-DSA-plugindigital-pathology · fastpathology

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

  • GSI-RADSfree-to-use

    Glioblastoma Surgery Imaging - Reporting And Data System (GSI-RADS).

  • MuTILs_Panopticcomputational-pathology · convolutional-neural-networks · 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/FAST-Pathology
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-14, 145 stars, license reported as BSD-2-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/47.json→ .entries["fast-pathology"]

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