1. Download the dataset at https://zenodo.org/record/3384092#.X4BudnVKhhE

2. Then, extract all zip files at one same directory

Make sure to have anaconda installed and import enviroment from condaEnviroment.yml file.

Then, use the command conda env create --file envname.yml

1. Open sirtfbp.py file and set PATH variable with dataset location
2. Run sirtfbp.py (The first time will take longer, because of the iterative filter creation). Train, test and validation folders going to be created at project root folder, containing all low dosage reconstructions
3. Set PATH variable at compare_quality.py file and run. The result going to be displayed at console as a log.