Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation
July 20, 2025 ยท View on GitHub
by Tao Lei, Ziyao Yang, Xingwu Wang, Yi Wang, Xuan Wang, Feiman Sun, Asoke K. Nandi
Introduction
Official code for "Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation".
Requirements
This repository is based on PyTorch 1.7.0, CUDA 12.2 and Python 3.6.5. All experiments in our paper were conducted on NVIDIA GeForce RTX 3090 GPU with an identical experimental setting.
Dataset
Data could be got at ACDC and Brats.
Training
python train_ALHVR_acdc.py
python train_ALHVR_brats.py
Testing
python test_acdc.py
python test_brats.py
Acknowledgements
Our code is adapted from CCT, MC-Net, UPCoL and SSL4MIS. Thanks for these authors for their valuable works and hope our model can promote the relevant research as well.