Figure 3 | Scientific Reports

Figure 3

From: Intra- and peritumoral radiomics features based on multicenter automatic breast volume scanner for noninvasive and preoperative prediction of HER2 status in breast cancer: a model ensemble research

Figure 3

(A) ROCs of the optimal Tumor, the optimal R3mm, the optimal R5mm, and the optimal Clinical model in the training set. (B) ROCs of the optimal Tumor, the optimal R3mm, the optimal R5mm, and the optimal Clinical model in the validation set. (C) ROCs of the optimal Tumor, the optimal R3mm, the optimal R5mm, and the optimal Clinical model in the test set. R3mm, model based on peritumoral 3 mm ring of breast tumor; R5mm, model based on peritumoral 5 mm ring of breast tumor; Tumor, model based on radiomics features of the tumor. ABC, Ada Boosting Classifier; AUC, area under the curve; CI, confidence interval; Clinical, model based on clinical, ABVS, and serology features of breast tumor; ETC, Extra Tree Classifier; GBC, Gradient Boosting Classifier; LGBM, Light Gradient Boosting Machine; RFC, Random Forest Classifier.

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