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1 Ergebnisse
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Deep learning-enabled pelvic ultrasound images for accurate..:
Gao, Yue
;
Zeng, Shaoqing
;
Xu, Xiaoyan
...
The Lancet Digital Health. 4 (2022) 3 - p. e179-e187 , 2022
Link:
https://doi.org/10.1016/s2589-7500(21)00278-8
RT Journal T1
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s2589-7500(21)00278-8&Exemplar=1&LAN=DE A1 Gao, Yue A1 Zeng, Shaoqing A1 Xu, Xiaoyan A1 Li, Huayi A1 Yao, Shuzhong A1 Song, Kun A1 Li, Xiao A1 Chen, Lingxi A1 Tang, Junying A1 Xing, Hui A1 Yu, Zhiying A1 Zhang, Qinghua A1 Zeng, Shue A1 Yi, Cunjian A1 Xie, Hongning A1 Xiong, Xiaoming A1 Cai, Guangyao A1 Wang, Zhi A1 Wu, Yuan A1 Chi, Jianhua A1 Jiao, Xiaofei A1 Qin, Yan A1 Mao, Xiaogang A1 Chen, Yu A1 Jin, Xin A1 Mo, Qingqing A1 Chen, Pingbo A1 Huang, Yi A1 Shi, Yushuang A1 Wang, Junmei PB Elsevier BV YR 2022 SN 2589-7500 JF The Lancet Digital Health VO 4 IS 3 SP e179 OP e187 LK http://dx.doi.org/https://doi.org/10.1016/s2589-7500(21)00278-8 DO https://doi.org/10.1016/s2589-7500(21)00278-8 SF ELIB - SuUB Bremen
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