Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

“…Chen Cheng,1,* Yan Wang,2,3,* Jine Zhao,4,* Di Wu,1 Honge Li,5 Hongyan Zhao1 1Department of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital, Lianyungang, 222004, People’s Republic of China; 2Department of Ultrasound, Lianyungang Municipal Oriental Hospital, Lianyungang, 222046, People’s Republic of China; 3Department of Ultrasound, Xuzhou Medical University Affiliated Hospital, Lianyungang, Jiangsu, 222061, People’s Republic of China; 4Department of Ultrasound, Donghai County People’s Hospital, Lianyungang, Jiangsu, 222300, People’s Republic of China; 5Department of Ultrasound, the First People’s Hospital of Lianyungang, Lianyungang, Jiangsu, 222061, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongyan Zhao, Department of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital, No. 160, Chaoyang Middle Road, Haizhou District, Lianyungang, 222004, People’s Republic of China, Tel +86 0518-85574003, Email zhaohongyanzhy01@126.comAbstract: Triple-negative breast cancer (TNBC) is a unique breast cancer subtype characterized by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression in tumor cells. …”
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