Research Progress of Radiomics and Deep Learning in Prognosis and Efficacy Prediction of Laryngeal Cancer
Keywords:
radiomics, deep learning, laryngeal cancer, prognosis prediction, efficacy predictionAbstract
In recent years, the rapid development of radiomics and deep learning (DL) technologies has provided new research directions for the precision diagnosis and treatment of laryngeal cancer. This article introduces the concepts of radiomics and DL, and reviews the applications in predicting the prognosis and treatment efficacy of laryngeal cancer. The article highlights the limitations and challenges of radiomics and DL in laryngeal cancer, and suggests future directions such as multi-center collaboration, the establishment of standardized processes, and the integration of multi-omics approaches.
