Breast cancer is the most common malignant tumor in women. Advances in ultrasound technology have improved the diagnostic level of sonographers. Radiomics high-throughput mining of microscopic features of images is promising to help sonographers further improve the diagnostic accuracy of breast cancer. This article reviewed the progress of research on ultrasound- radiomics of multiple modalities in the preoperative diagnosis of breast cancer.
Value of deep learning ultrasound radiomics in predicting axillary lymph node metastasis of breast cancer
Multimodal ultrasound features combined with serum CEA and CK19 to predict axillary lymph node metastasis of breast cancer
Deep learning model based on two-dimensional ultrasound images for preoperative prediction of breast cancer lymphovascular invasion: a human-machine comparison study
Research progress of ultrasound radiomics based on artificial intelligence in the diagnosis and treatment of breast cancer
Progress of ultrasound-based radiomics in breast cancer
Related Author
Jiaojiao HU
Xiaohong FU
Yan SHEN
Xiaoqing YU
Qingqing CHEN
Su HU
Yuqing HE
Zizheng WU
Related Institution
Department of Radiology, The First Affiliated Hospital of Soochow University
Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area
Institute of Medical Imaging, Soochow University
Department of Ultrasound, The First Hospital of Qinhuangdao