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Abstract #4875

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using deep learning  method

Yuhong Qu1, Haitao Zhu1, Kun Cao1, Xiaoting Li1, and Ying-shi Sun1
1Beijing cancer hospital, Beijing, China

This study established a deep learning model to predict PCR status after neoadjuvant therapy by combining pre-NAC and post-NAC MRI data.The area under the receiver operating characteristic (ROC) curve (AUC) of the models are 0.968 for post-NAC and 0.970 for the combined data.

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