Fig. 2

The flow chart of multiomics combination. a Radiomics process mainly includes image acquisition, region of interest (ROI) segmentation, radiomics feature extraction. b Pathomics process includes acquisition of pathological images, whole slide images (WSI) ROI segmentation, extraction features of deep learning. c Genomics process mainly includes acquisition of genomics data, analysis of genomics data, etc. d Clinical data include demographic information, laboratory examination, diagnosis and staging, treatment method, etc. e Multiomics combinations. Multiomics data are fused by machine learning methods to construct combinatorial models for tumor microenvironment exploration and cancer prognosis evaluation, and to develop comprehensive prognosis biomarkers