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

Autor: Yue Gao, MD, Shaoqing Zeng, MD, Xiaoyan Xu, ProfMD, Huayi Li, Shuzhong Yao, ProfPhD, Kun Song, ProfPhD, Xiao Li, BS, Lingxi Chen, PhD, Junying Tang, ProfPhD, Hui Xing, ProfPhD, Zhiying Yu, ProfPhD, Qinghua Zhang, ProfPhD, Shue Zeng, ProfPhD, Cunjian Yi, ProfPhD, Hongning Xie, ProfPhD, Xiaoming Xiong, BS, Guangyao Cai, MD, Zhi Wang, MS, Yuan Wu, MS, Jianhua Chi, BS, Xiaofei Jiao, BS, Yan Qin, MS, Xiaogang Mao, MD, Yu Chen, MD, Xin Jin, MD, Qingqing Mo, MD, Pingbo Chen, ProfMD, Yi Huang, ProfMD, Yushuang Shi, MD, Junmei Wang, ProfPhD, Yimin Zhou, MD, Shuping Ding, MD, Shan Zhu, MD, Xin Liu, ProfMD, Xiangyi Dong, MD, Lin Cheng, MD, Linlin Zhu, MD, Huanhuan Cheng, MD, Li Cha, MD, Yanli Hao, MS, Chunchun Jin, MD, Ludan Zhang, MD, Peng Zhou, BS, Meng Sun, MS, Qin Xu, MS, Kehua Chen, BS, Zeyan Gao, MS, Xu Zhang, BS, Yuanyuan Ma, MS, Yan Liu, MD, Liling Xiao, MS, Li Xu, MD, Lin Peng, BS, Zheyu Hao, MD, Mi Yang, MD, Yane Wang, MD, Hongping Ou, MD, Yongmei Jia, MD, Lihua Tian, MD, Wei Zhang, MD, Ping Jin, MS, Xun Tian, ProfMD, Lei Huang, MD, Zhen Wang, MD, Jiahao Liu, BS, Tian Fang, MS, Danmei Yan, BS, Heng Cao, BS, Jingjing Ma, MD, Xiaoting Li, MD, Xu Zheng, BS, Hua Lou, BS, Chunyan Song, BS, Ruyuan Li, BS, Siyuan Wang, BS, Wenqian Li, MD, Xulei Zheng, MD, Jing Chen, MD, Guannan Li, BS, Ruqi Chen, MS, Cheng Xu, MS, Ruidi Yu, MS, Ji Wang, MS, Sen Xu, MD, Beihua Kong, ProfPhD, Xing Xie, ProfPhD, Ding Ma, ProfPhD, Qinglei Gao, ProfPhD

Publikováno v: The Lancet: Digital Health, Vol 4, Iss 3, Pp e179-e187 (2022)

Summary: Background: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognition tasks; therefore, we aimed to develop a deep convolutional neural network (DCNN) model

Externí odkaz: https://doaj.org/article/557389c903e04fe284a592be5931df32

Clinical Performance of ADNEX (The Assessment of Different NEoplasias in the adneXa) Model in Early Diagnosis and Staging of Benign and Malignant Ovarian Tumors

Autor: Yushuang Shi, Mengxiong Li, Cunjian Yi, Jumei Hu

Publikováno v: Yangtze Medicine. :148-156

Objective: To investigate the clinical value of ADNEX model in early diagnosis and staging of benign and malignant ovarian tumors. Method: 136 cases of ovarian cancer patients treated in our hospital were retrospectively analyzed using the ADNEX risk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e2c5754d6b99fab9d0991e5803fa5c6d
https://doi.org/10.4236/ym.2017.13015