{"collection_id":"ct_phantom4radiomics","collection_name":"CT-Phantom4Radiomics","cancer_types":"Phantom","tumor_locations":"Phantom","species":"Human","subjects":1,"supporting_data":"Image Analyses, Software/Source Code","description":"The aims of this dataset are to determine the stability of radiomics features against computed\ntomography (CT) parameter variations and to study their discriminative power concerning tissue\nclassification using\na 3D-printed CT phantom based on real patient data (https://doi.org/10.1002/mp.16373) . 4 tissue\ntypes (normal, benign cyst, hemangioma, and\nmetastasis) were manually annotated. 238 CT series with 8 parameter variations of reconstruction\nalgorithms, reconstruction kernels, slice thickness, and slice spacing are available.\nPlease see the CT-Phantom4Radiomics (https://doi.org/10.7937/a1v1-rc66) wiki page to learn more\nabout the images and to obtain any supporting metadata for this collection.","patients":1,"studies":238,"series":476,"instances":78452,"size_TB":0.042,"modalities":["CT","SEG"],"licenses":[{"license_short_name":"CC BY 4.0","series":476,"size_TB":0.042}]}