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EJNMMI Research
Fig. 5 | EJNMMI Research

Fig. 5

From: 18F-FDG PET/CT-based deep learning radiomics predicts 5-years disease-free survival after failure to achieve pathologic complete response to neoadjuvant chemotherapy in breast cancer

Fig. 5

Disease-free survival (DFS) curves of patients stratified by RCB model (a), clinical T model (b), radiomics model (c), DL model (d) and combined model (i) in the training cohort. The DFS curves of patients stratified by RCB model (e), clinical T model (f), radiomics model (g), DL model (h) and combined model j in the testing cohort. The DFS showed a significant difference between patients in combined model in training and testing cohort. Among all models, patients stratified by a combined model demonstrated the best capability in stratifying patients with high risk

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