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Fig. 2 | BMC Cancer

Fig. 2

From: Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

Fig. 2

Workflow of Study. The images were preprocessed for feature extraction. After feature evaluation and model construction, four sets of features [radiomic signature (RS), pathologic signature (PS), deep learning pathologic signature (DLPS) and clinical features] were generated and further used to construct DLRPM. The performance of DLRPM in predicting pCR before NAC was validated in validation set

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