Fig. 4From: A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancerRepresentative cases for the predictions of PFS based on different data set. Figure shows CT images and the DeepSurv risk-of-progression period of (a) a patient with long (24.3Â months) PFS, (b) a patient with moderate (11.9Â months) PFS, and (c) a patient with short (1.0Â month) PFS. The comparison of the selected geometric feature with the PFS of representative cases is presented in (d)Back to article page