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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

Fig. 1

a: Flow chart of the methodology of this analysis in this paper. b: Graphical illustration of the customised pipeline shows the cascade of processing starting from tumour segmentation on FLAIR series and ending in feature extraction over tumour mask. c: Decision tree illustrating the different cohorts of gliomas from the multicentre dataset stratified per WHO grades II, III and IV and also per IDH mutation status

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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