GitHub repository for the paper Digital Decellularization: Image Domain Transfer by Neural Networks for Quantitative Histological Analysis of Liver Scaffold.
You can try several demos:
- Basic introduction to wsitools module: https://colab.research.google.com/drive/11V3IsbZkQt5UohQfbvA9QjTamn9GjCwa?usp=sharing
- Split and merge medical image with tile processing: https://colab.research.google.com/drive/1K88LpwIdc5GGzTZkZTtk4LQt9N0SBDwl?usp=sharing
- Split and merge with LiverGAN processing: https://colab.research.google.com/drive/1DDdi8x68rShRWBMQPJ9aq9zxtGmUsFqM?usp=sharing
- Extraction of extracellular matrix from histological microscopic images of the liver using segmentation and inpainting methods https://colab.research.google.com/drive/1Ss9Z2qciXUauu5FqmUMaaBH8MZtGplRT?usp=sharing
wsitools - Software for working with Whole Slide Images
LiverGAN - GAN methods used in the paper
Step by step - Step by step methods used in the paper
Decellularization dataset on Synology
Decellularization dataset on Kaggle