Volumes of interest (VOI) with number and percentages of statistically significantly different texture parameters from a total of 223 texture parameters between EPM1 patients and healthy controls.
ObjectiveAccurate identification of testicular tumors through better lesion characterization can optimize the radical surgical procedures. Here, we compared the performance of different machine learni
This dataset contains structured lung CT radiomics features from 100 clinically healthy adults acquired on a single scanner using a homogeneous routine chest CT protocol. Lungs were segmented with Tot
Clinical data of 83 NPC patients, including 56 males and 27 females. Data acquisition was performed using a Philips Achieva 3.0T TX scanner and a 16 channel head and neck joint coil, followed by routi
