PREDICTING MALIGNANT NODULES FROM SCREENING CTS
Determine if quantitative analyses (“radiomics”) of low dose CT lung cancer screening images at baseline can predict subsequent emergence of cancer.
RADIOMIC FEATURES EXTRACTED FROM LUNG CANCER
Assess the stability and reproducibility of CT radiomic features extracted from the peritumoral regions of lung lesions.
APPLICATIONS AND LIMITATIONS OF RADIOMICS
Review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
CT-BASED RADIOMIC SIGNATURE PREDICTS DISTANT METASTASIS IN LUNG CARCINOMA
Evaluates CT radiomic features for their capability to predict distant metastasis for lung adenocarcinoma patients.
THREE DIMENSIONAL SLICER
Everyone knows 3D Slicer, a powereful medic-images clinical, biomedical and reaserch tool. But we focus on Drawing ROI with Segmentation and Features Extracting with Radiomics module.
EXTENSIONS FOR RADIOMICS
