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@AICAN-Research

AICAN - Artificial intelligence and digital pathology in cancer

README.md

AICAN - Artificial intelligence and digital pathology in cancer

The AICAN research group studies the use of artificial intelligence in the interpre​​​​​​​tation of histopathological slides from cancer.

AICAN is a cross disciplinary research group involving NTNU, St. Olavs hospital, Levanger hospital and SINTEF. We use artificial intelligence in the interpretation of histopathological slides from cancer.

Our goal is to establish methods able to predict biological properties and prognosis in cancer. Initially we have been working on breast cancer, but we are now expanding our research to also include lung cancer.

We use established biobanks from NTNU/St. Olavs hospital, and collect tissue from collaborating partners nationally and abroad.

See here to learn more about AICAN.

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  1. FAST-Pathology FAST-Pathology Public

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  2. H2G-Net H2G-Net Public

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  6. DRU-Net DRU-Net Public

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Repositories

Showing 10 of 11 repositories
  • learn-pathology Public

    A web-based system for learning pathology

    AICAN-Research/learn-pathology’s past year of commit activity
    JavaScript 9 MIT 2 8 1 Updated Nov 22, 2024
  • H2G-Net Public

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

    AICAN-Research/H2G-Net’s past year of commit activity
    Jupyter Notebook 23 MIT 7 1 0 Updated Nov 8, 2024
  • .github Public

    test

    AICAN-Research/.github’s past year of commit activity
    0 0 0 0 Updated Nov 4, 2024
  • vsi2tif Public Forked from andreped/vsi2tif

    Simple tool for converting WSIs from cellSens VSI to pyramidal TIFF

    AICAN-Research/vsi2tif’s past year of commit activity
    Jupyter Notebook 0 MIT 5 0 0 Updated Sep 9, 2024
  • DRU-Net Public

    🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network

    AICAN-Research/DRU-Net’s past year of commit activity
    Python 2 MIT 1 0 0 Updated Jun 26, 2024
  • FAST-Pathology Public

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

    AICAN-Research/FAST-Pathology’s past year of commit activity
    C++ 123 BSD-2-Clause 27 25 0 Updated Jun 14, 2024
  • breast-epithelium-segmentation Public

    🌸 Breast epithelium segmentation through IHC-guided supervision

    AICAN-Research/breast-epithelium-segmentation’s past year of commit activity
    Python 11 MIT 4 0 1 Updated Apr 23, 2024
  • breast-cancer-stats Public

    🌸 Notebooks for making publish-worthy visualizations using WHO breast cancer data

    AICAN-Research/breast-cancer-stats’s past year of commit activity
    Jupyter Notebook 4 MIT 2 0 0 Updated Jan 28, 2024
  • CLAM Public Forked from mahmoodlab/CLAM

    Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

    AICAN-Research/CLAM’s past year of commit activity
    Python 0 GPL-3.0 373 0 0 Updated Jan 4, 2024
  • FP-DSA-plugin Public Forked from andreped/FP-DSA-plugin

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

    AICAN-Research/FP-DSA-plugin’s past year of commit activity
    Python 0 MIT 1 0 0 Updated Sep 24, 2023
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