TOSM-Two-and-a-half-Order-Score-based-Model-for-Solving-3D-Ill-posed-Inverse-Problems

https://doi.org/10.1016/j.compbiomed.2023.107819 Computers in Biology and Medicine

Install: conda install requirements.txt

Datasets: Download AAPM datasets for CT Reconstruction.

Train: run main_ImageNet.py

parser.add_argument('--runner', type=str, default='AapmRunnerdata_10C', help='The runner to execute')

parser.add_argument('--test', action='store_true', help='Whether to test the model', default=False)

Reconstruction: run main_ImageNet.py

parser.add_argument('--runner', type=str, default='Aapm_Runner_CTtest_10_noconv', help='The runner to execute')

parser.add_argument('--test', action='store_true', help='Whether to test the model', default=True)