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Using Deep Learning Methods to Analyze Automated Breast Ultrasound Images to Establish a Diagnosis Therapy Assessment and Prognosis Prediction Model of Breast Cancer.

The purpose of this study is using a deep learning method to analyze the automated breast ultrasound (ABUS) imagings, establish and evaluate a diagnosis, therapy assessment and prognosis prediction model of breast cancer. The model would provide important references for further early prevention, early diagnosis and personalized treatment.

AXillary Surgery After NeoAdjuvant Treatment

The optimal surgical axillary staging technique in patients who convert from the clinically positive to clinically negative lymph node status under neoadjuvant therapy (cN+ ycN0) remains to be clarified. Different strategies (axillary lymph node dissection, sentinel node biopsy, targeted axillary dissection) are currently used in different countries. A prospective analysis …

Antler Plate on Preventing Mammary High-risk Lesions From Malignant Development

This study aims to prove whether antler disk extract can be put into clinical practice to prevent breast precancerous lesions from developing into cancer.