"Ensuring the quality of medical images before their use in automated diagnostic pipelines as radiomic is a critical yet often overlooked step. Even subtle visual degradations, such as blur, noise, or
The dataset for this study contains measurements of image quality metrics across 22 mammographic phantoms (Leeds TORMAS) and 10 repeated images each. It is structured with the following columns: Me
This is a Volumetric quality control (VQC) phantom dataset acquired on the GE SIGNA PET/MR Scanner at Invicro, London. This dataset comprises of : 1. LST : Uncompressed PET listmode file 2. MR: Re
