التفاصيل البيبلوغرافية
| العنوان: |
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study |
| المؤلفون: |
Gao, Yue, Zeng, Shaoqing, Xu, Xiaoyan, Li, Huayi, Yao, Shuzhong, Song, Kun, Li, Xiao, Chen, Lingxi, Tang, Junying, Xing, Hui, Yu, Zhiying, Zhang, Qinghua, Zeng, Shue, Yi, Cunjian, Xie, Hongning, Xiong, Xiaoming, Cai, Guangyao, Wang, Zhi, Wu, Yuan, Chi, Jianhua, Jiao, Xiaofei, Qin, Yan, Mao, Xiaogang, Chen, Yu, Jin, Xin, Mo, Qingqing, Chen, Pingbo, Huang, Yi, Shi, Yushuang, Wang, Junmei, Zhou, Yimin, Ding, Shuping, Zhu, Shan, Liu, Xin, Dong, Xiangyi, Cheng, Lin, Zhu, Linlin, Cheng, Huanhuan, Cha, Li, Hao, Yanli, Jin, Chunchun, Zhang, Ludan, Zhou, Peng, Sun, Meng, Xu, Qin, Chen, Kehua, Gao, Zeyan, Zhang, Xu, Ma, Yuanyuan, Liu, Yan |
| المصدر: |
The Lancet Digital Health ; volume 4, issue 3, page e179-e187 ; ISSN 2589-7500 |
| بيانات النشر: |
Elsevier BV |
| سنة النشر: |
2022 |
| المجموعة: |
ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| مصطلحات موضوعية: |
Health Information Management, Decision Sciences (miscellaneous), Health Informatics, Medicine (miscellaneous) |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1016/s2589-7500(21)00278-8 |
| الإتاحة: |
https://doi.org/10.1016/s2589-7500Test(21)00278-8
https://api.elsevier.com/content/article/PII:S2589750021002788?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2589750021002788?httpAccept=text/plainTest |
| حقوق: |
https://www.elsevier.com/tdm/userlicense/1.0Test/ ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: |
edsbas.B7D550B5 |
| قاعدة البيانات: |
BASE |
