GAN-NETL (Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network with Noise Encoding Transfer Learning)
Pytorch is required, for example,
python 3.8.8
conda install pytorch==1.9.1+cu102 torchvision==0.10.1+cu102 torchaudio==0.9.1 cudatoolkit=11.7 -c pytorch # install pytorch
Links to MAPNN:
https://github.com/hmshan/MAP-NN
Paper Citation: M. Li et al., "Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning," in IEEE Transactions on Medical Imaging, vol. 42, no. 9, pp. 2616-2630, Sept. 2023, doi: 10.1109/TMI.2023.3261822.