Research Progress of Radiomics and Deep Learning in Rectal Cancer
Magnetic resonance imaging(MRI)has been widely performed in the staging and efficacy assessment of rectal cancer,and can even be used for the prediction of pathological indicators and gene mutations.To provide a new basis for clinical individualized diagnosis and treatment,methods such as radiomics and deep learning based on the field of artificial intelligence to mine deep information of lesions from MRI for further analysis.Currently,a large number of studies on MRI radiomics or deep learning for rectal cancer have shown potential clinical applications.In this paper,we summarize the research progress of MRI radiomics and deep learning in rectal cancer diagnosis and treatment in recent years,aiming to provide reference for subsequent research.
NETL
NSTL
万方数据
维普
