Skip to main content
Fig. 6 | Breast Cancer Research

Fig. 6

From: Multimodal recurrence risk prediction model for HR+/HER2- early breast cancer following adjuvant chemo-endocrine therapy: integrating pathology image and clinicalpathological features

Fig. 6

Integrating WSI-based risk score and clinicalpathological factors to construct a multimodal recurrence risk prediction model. (A-B). Comparison of AUC among different multimodal recurrence risk prediction models. (C-H). SHAP summary plots for machine learning models in fold 0-4. Importance matrices and SHAP summary plots illustrated the contribution of feature variables to different models.WSI, whole slide image; LN, lymph node; LVI: lymphatic vessel infiltration; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor

Back to article page

Breast Cancer Research

ISSN: 1465-542X

Contact us