单位：[1]National Clinical Research Centre for Obstetrics and Gynaecology, Cancer Biology Research Centre (Key Laboratory of the Ministry of Education) and Department of Gynaecology and Obstetrics, Tongji Hospital, Wuhan 430030, China肿瘤生物医学中心华中科技大学同济医学院附属同济医院妇产科学系[2]Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China[3]City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
第一作者单位：[1]National Clinical Research Centre for Obstetrics and Gynaecology, Cancer Biology Research Centre (Key Laboratory of the Ministry of Education) and Department of Gynaecology and Obstetrics, Tongji Hospital, Wuhan 430030, China[2]Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
推荐引用方式(GB/T 7714)：
Gao Yue,Li Huayi,Chen Lingxi,et al.A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply[J].The Lancet. Digital health.2022,4(9):e631.doi:10.1016/S2589-7500(22)00145-5.
APA：
Gao Yue,Li Huayi,Chen Lingxi,Wu Yuan,Ma Ding&Gao Qinglei.(2022).A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply.The Lancet. Digital health,4,(9)
MLA：
Gao Yue,et al."A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply".The Lancet. Digital health 4..9(2022):e631
医学