HIGHLIGHTS
SUMMARY
In this paper, a DL model 3D ResNet was used to perform binary OS classification of patients with PCNSL. The authors investigated the power of DL models in OS classification of patients with PCNSL from MRI. From the performance results, the authors can say that T1Gd under TL learns better representation of PCNSL, while compared with ML-based models on clinical data and radiomics data, respectively. The authors obtained the largest AUC 0.81(0.03) from T1Gd under TL, meaning that T1Gd under TL is stable for different threshold and the model ranks . . .
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