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Deep learning combining mammography and ultrasound images to predict the malignancy of BI-RADS US 4A lesions in women with dense breasts: a diagnostic study.

Autor: Yang Y; Breast Tumor Center., Zhong Y; Department of Medical Oncology, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou., Li J; Department of Medical Oncology, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou., Feng J; Cellsvision (Guangzhou) Medical Technology Inc., People's Republic of China., Gong C; Breast Tumor Center., Yu Y; Department of Medical Oncology, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou., Hu Y; Breast Tumor Center., Gu R; Breast Tumor Center., Wang H; Breast Tumor Center., Liu F; Breast Tumor Center., Mei J; Breast Tumor Center., Jiang X; Breast Tumor Center., Wang J; Cellsvision (Guangzhou) Medical Technology Inc., People's Republic of China., Yao Q; Cellsvision (Guangzhou) Medical Technology Inc., People's Republic of China., Wu W; Breast Tumor Center., Liu Q; Breast Tumor Center., Yao H; Breast Tumor Center.; Department of Medical Oncology, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou.

Publikováno v: International journal of surgery (London, England) [Int J Surg] 2024 May 01; Vol. 110 (5), pp. 2604-2613. Date of Electronic Publication: 2024 May 01.