Research Progress of Radiomics and Deep Learning in the Prognosis and Efficacy Evaluation of Gastric Cancer
Radiomics and deep learning are popular research methods,which have initially shown important roles in the diagnosis,differential diagnosis,classification,treatment response and prognosis of tumors.The purpose of this paper is to introduce the workflow of radiomics and the basic concepts of deep learning,and review the application progress of radiomics in the prognosis and efficacy evaluation of gastric cancer,and summarize the existing research results,research challenges and development opportunities in the future,in order to provide value for the precise diagnosis and treatment of gastric cancer in clinical practice.
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