Research Progress on Radiomics in Pancreatic Neuroendocrine Tumor
Pancreatic neuroendocrine tumor(pNET)is a kind of highly heterogeneous malignant tumor of the digestive system,and accurate diagnosis and grading are crucial for personalized treatment.In recent years,artificial intelligence methods such as radiomics and deep learning have become emerging non-invasive image analytical modalities,showing promising prospects in the diagnosis and pathological grading of pNET.This paper reviews the research progress on clinical application of radiomics in the diagnosis and pathological grading of pNET,to provide a new direction and insights of radiomics in the precise diagnosis and treatment of pNET.
NETL
NSTL
万方数据
