Fig. 2From: Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patientsWorkflow 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 setBack to article page