Explore @AICAN-Research Open Source projects

AICAN - Artificial intelligence and digital pathology in cancer (@AICAN-Research)

AICAN-Research

Stars
33
Global Org. Rank 95,791 (Top 31 %)
Registered over 3 years ago
Most used languages

JavaScript
20.0 %

Python
20.0 %

C++
20.0 %

Jupyter Notebook
20.0 %

TeX
20.0 %
Location 🇳🇴 Norway
Country Total Rank 1,865
Country Ranking

TeX
22

C++
54

Jupyter Notebook
268

Python
738

JavaScript
1,310

FAST-Pathology

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

H2G-Net

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

breast-epithelium-segmentation

🌸 Breast epithelium segmentation through IHC-guided supervision

breast-cancer-stats

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

Jupyter Notebook

learn-pathology

A web-based system for learning pathology