Multitask Deep Learning‐Based Whole‐Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast‐Enhanced‐MRI: A Multicenter Study.

Autor: Zhou, Heng, Hua, Zhen, Gao, Jing, Lin, Fan, Chen, Yuqian, Zhang, Shijie, Zheng, Tiantian, Wang, Zhongyi, Shao, Huafei, Li, Wenjuan, Liu, Fengjie, Li, Qin, Chen, Jingjing, Wang, Ximing, Zhao, Feng, Qu, Nina, Xie, Haizhu, Ma, Heng, Zhang, Haicheng, Mao, Ning

Publikováno v: Journal of Magnetic Resonance Imaging; May2024, Vol. 59 Issue 5, p1710-1722, 13p

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Attention‐based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE‐MRI.

Autor: Gao, Jing, Zhong, Xin, Li, Wenjuan, Li, Qin, Shao, Huafei, Wang, Zhongyi, Dai, Yi, Ma, Heng, Shi, Yinghong, Zhang, Han, Duan, Shaofeng, Zhang, Kun, Yang, Ping, Zhao, Feng, Zhang, Haicheng, Xie, Haizhu, Mao, Ning

Publikováno v: Journal of Magnetic Resonance Imaging; Jun2023, Vol. 57 Issue 6, p1842-1853, 12p

Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter study.

Autor: Chen Y; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China., Hua Z; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China., Lin F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Zheng T; School of Medical Imaging, Binzhou Medical University, Yantai 264003, China., Zhou H; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China., Zhang S; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Gao J; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Wang Z; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Shao H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Li W; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Liu F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Wang S; Department of Radiology, Fudan University Cancer Center, Shanghai 200433; China., Zhang Y; Department of Radiology, Guangdong Maternal and Child Health Hospital, Guangzhou 510010, China., Zhao F; School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China., Liu H; Yizhun Medical AI Co. Ltd., Beijing 100080, China., Xie H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Ma H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Zhang H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China., Mao N; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.

Publikováno v: Chinese journal of cancer research = Chung-kuo yen cheng yen chiu [Chin J Cancer Res] 2023 Aug 30; Vol. 35 (4), pp. 408-423.