Fig. 2: ROC curves for predicting prognosis of NSCLC patients using AIM-LCpro model. | npj Precision Oncology

Fig. 2: ROC curves for predicting prognosis of NSCLC patients using AIM-LCpro model.

From: Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning

Fig. 2: ROC curves for predicting prognosis of NSCLC patients using AIM-LCpro model.The alternative text for this image may have been generated using AI.

The ROC curves for predicting a progression in 5 years in the training set. b Progression in 5 years in the validation set. c Progression in 5 years in the test set. d Death in 5 years in the training set. e Death in 5 years in the validation set. f Death in 5 years in the test set.

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