Skip to content
@AICAN-Research

AICAN - Artificial intelligence and digital pathology in cancer

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.

Popular repositories Loading

  1. FAST-Pathology FAST-Pathology Public

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

    C++ 146 28

  2. H2G-Net H2G-Net Public

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

    Jupyter Notebook 29 8

  3. learn-pathology learn-pathology Public

    A web-based system for learning pathology

    JavaScript 14 2

  4. breast-epithelium-segmentation breast-epithelium-segmentation Public

    🌸 Breast epithelium segmentation through IHC-guided supervision

    Python 11 4

  5. breast-cancer-stats breast-cancer-stats Public

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

    Jupyter Notebook 4 2

  6. DRU-Net DRU-Net Public

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

    Python 2 1

Repositories

Showing 10 of 16 repositories
  • learn-pathology Public

    A web-based system for learning pathology

    AICAN-Research/learn-pathology's past year of commit activity
    JavaScript 14 2 9 0 Updated Aug 3, 2026
  • EP-MIL Public

    Evolving Prototype-Based Multiple Instance Learning

    AICAN-Research/EP-MIL's past year of commit activity
    Python 0 MIT 0 0 0 Updated Dec 11, 2025
  • CompressAI-WSICompression Public Forked from InterDigitalInc/CompressAI

    A PyTorch library and evaluation platform for end-to-end compression research

    AICAN-Research/CompressAI-WSICompression's past year of commit activity
    Python 0 BSD-3-Clause-Clear 279 0 0 Updated Oct 23, 2025
  • H2G-Net Public

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

    AICAN-Research/H2G-Net's past year of commit activity
    Jupyter Notebook 29 MIT 8 1 0 Updated Jul 21, 2025
  • 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 May 21, 2025
  • .github Public

    test

    AICAN-Research/.github's past year of commit activity
    0 0 0 0 Updated May 21, 2025
  • OKEN Public

    A Supervised Evolutionary Optimizable Dimensionality Reduction Framework For Whole Slide Image Classification

    AICAN-Research/OKEN's past year of commit activity
    Python 2 MIT 0 0 0 Updated May 20, 2025
  • AICAN-Research/estrogen-receptor-prediction's past year of commit activity
    Python 1 0 0 0 Updated Mar 12, 2025
  • CLAM-biomarker Public Forked from mahmoodlab/CLAM

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

    AICAN-Research/CLAM-biomarker's past year of commit activity
    Python 0 GPL-3.0 522 0 0 Updated Feb 21, 2025
  • 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

Top languages

Loading…

Most used topics

Loading…