Code for this paper:Pseudo-label enhanced consistency learning for semi-supervised medical image segmentation

1. Create conda environment:

   conda create -n PECL python=3.10

2. Clone the repo:

   git clone https://github.com/aixiaobaikkk/PECL.git

3. Activate the environment:

   conda activate PECL

4. Install the requirements:

   pip install -r requirements.txt

python train_LA.py

python train_ACDC.py

python train_PA.py

• This code is adapted from UA-MT, DTC and BCP . .