Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma

<div>The nomogram constructed by radiomics signature, KPS, and age (a). The calibration curve of the nomogram shows that the prediction and observation possibilities of TCIA (b) and test (c) datasets are satisfactory.</div>

Behavioural Neurology

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Figure 6

Figure 6: Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma 

Figure 6 | Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma 