BayPolypGen-Benchmark

Bayesian debiasing method test

Brief description:

This is a benchmark code used for polyp segmentation reported in PolypGen: A multi-center polyp detection andsegmentation dataset for generalisabilityassessment.

Cite: Ali, S. et al. A multi-centre polyp detection and segmentation dataset for generalisability assessment. Sci Data 10, 75 (2023). https://doi.org/10.1038/s41597-023-01981-y

Installation

Requirements:

• Python 3.6.5+
• Pytorch (version 1.4.0)
• Torchvision (version 0.5.0)
• Visdom and many (will update it!!!)

1. Clone this repository

   git clone https://github.com/sharibox/PolypGen-Benchmark.git

   cd PolypGen-Benchmark

2. Goto your environment with installations

3. Clone additional UNet backbone repository

   git clone https://github.com/mkisantal/backboned-unet.git

   cd backboned-unet

   pip install .

Metrics

• Please use the metrics provided here

Statement & Disclaimer

This project is for research purpose only and may have included third party educational/research codes. The authors do not take any liability regarding any commercial usage. For any other questions please contact [email protected].