CT-Phantom4Radiomics

The aims of this dataset are to determine the stability of radiomics features against computed tomography (CT) parameter variations and to study their discriminative power concerning tissue classification using a 3D-printed CT phantom based on real patient data . 4 tissue types (normal, benign cyst, hemangioma, and metastasis) were manually annotated. 238 CT series with 8 parameter variations of reconstruction algorithms, reconstruction kernels, slice thickness, and slice spacing are available. Please see the CT-Phantom4Radiomics wiki page to learn more about the images and to obtain any supporting metadata for this collection.