Zerui Zhang, Zhichao Sun, Zelong Liu, Bo Du, Rui Yu, Zhou Zhao, Yongchao Xu

1. Clone this repository and navigate to SAGAN folder

git clone https://github.com/zzr728/SAGAN.git
cd SAGAN

2. Install Package: Create conda environment

conda create -n SAGAN python=3.9 -y
conda activate SAGAN
pip install --upgrade pip  # enable PEP 660 support

3. Install additional packages for training cases

pip install -r requirements.txt

Download the well-processed Med-AD benchmark from: Google Drive | OneDrive.
(RSNA, VinDr-CXR and LAG are one of the benchmarks, and should be only applied for academic research.)

bash train.sh

bash test.sh

This repository provides pre-trained SAGAN model checkpoints that can be downloaded and used for medical anomaly detection tasks.The available pre-trained models include: