# Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-enabled-pelvic-ultrasound-images-for-accurate-diagnosis-of-ovarian/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yue Gao,Shaoqing Zeng,Xiaoyan Xu,Huayi Li,Shuzhong Yao,Kun Song,Xiao Li,Lingxi Chen,Junying Tang,Hui Xing,Zhiying Yu,Qinghua Zhang,Shu‐E Zeng,Cunjian Yi,Hongning Xie,Xiaoming Xiong,Guangyao Cai,Zhi Wang,Yuan Wu,Jianhua Chi,Xiaofei Jiao,Qin Yan,Xiaogang Mao,Yu Chen,Xin Jin,Qingqing Mo,Pingbo Chen,Yi Huang,Yushuang Shi,Junmei Wang,Yimin Zhou,Shuping Ding,Shan Zhu,Xin Liu,Xiangyi Dong,Lin Cheng,Linlin Zhu,Huanhuan Cheng,Li Cha,Yanli Hao,Chunchun Jin,Ludan Zhang,Peng Zhou,Meng Sun,Xu Qin,Kehua Chen,Zeyan Gao,Xu Zhang,Yuanyuan Ma,Yan Liu,Liling Xiao,Xu Li,Peng Lin,Zheyu Hao,Mi Yang,Yane Wang,Hongping Ou,Yongmei Jia,Lihua Tian,Wei Zhang,Ping Jin,Xun Tian,Lei Huang,Zhen Wang,Jiahao Liu,Tian Fang,Danmei Yan,Heng Cao,Jingjing Ma,Xiao-Ting Li,Zheng Xu,Hua Lou,Chunyan Song,Ruyuan Li,Siyuan Wang,Wenqian Li,Xulei Zheng,Jing Chen,Guannan Li,Ruqi Chen,Cheng Xu,Ruidi Yu,Ji Wang,Sen Xu,Beihua Kong,Xing Xie,Ding Ma,Qinglei Gao |
| Citations | 183 |
| DOI | 10.1016/s2589-7500(21)00278-8 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.thelancet.com/article/S2589750021002788/pdf |
| OpenAlex ID | https://openalex.org/W4213031487 |
| PMID | 35216752 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Shuzhong Yao](https://scholariq.org/researchers/shuzhong-yao/)
- [Beihua Kong](https://scholariq.org/researchers/beihua-kong/)
- [Xiao Li](https://scholariq.org/researchers/xiao-li/)

## Paper primary topic

- [Ovarian cancer diagnosis and treatment](https://scholariq.org/topics/ovarian-cancer-diagnosis-and-treatment/)

## Paper topics

- [Ovarian cancer diagnosis and treatment](https://scholariq.org/topics/ovarian-cancer-diagnosis-and-treatment/)
- [Endometrial and Cervical Cancer Treatments](https://scholariq.org/topics/endometrial-and-cervical-cancer-treatments/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.