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Fig. 6 | BMC Medicine

Fig. 6

From: Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study

Fig. 6

Results of external validation using the proposed models. a The visualization of lesion segmentation using the automatic segmentation model in SAG and TRA phases, respectively. b The external validation results adopting the proposed models in different tasks. c–e The ROC curves for each model in the prediction tasks. ATRX, alpha thalassemia/mental retardation syndrome X-linked; ROC, receiver operating characteristic; P53, tumor protein p53; SAG, sagittal; TRA, transverse; WHO, World Health Organization

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BMC Medicine

ISSN: 1741-7015

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