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Visual Computing for Industry, Biomedicine, and Art
Fig. 2 | Visual Computing for Industry, Biomedicine, and Art

Fig. 2

From: Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma

Fig. 2

Patient recruitment flowchart. A total of 434 patients were included in this study. The patients were then divided into two cohorts based on the presence or absence of DCE-MR images. The MR cohort with only MR images was randomly divided into an MR training set and test set at a ratio of 7:3. In addition, the multi-modality cohort with both MR and DCE-MR images was randomly allocated to a multi-modality training set and test set at a ratio of 7:3 as well. The MR cohort shown in the gray box and the multi-modality cohort in blue box constituted the whole dataset of this study

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