In this study, investigators aimed to investigate the diagnostic performance and prediction accuracy of pancreatic cancer by radiomics data and clinical data, which include CT scan, MRI, PET-CT, PET-MR, ultrasound, and clinical data.
Age
18–90
Sex
ALL
Healthy volunteers
Not accepted
You may be eligible if
Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis
You may not be if
Have other tumors along with pancreatic tumor; Clinical information missing
Clareo Health | Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data
