中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Research paper Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 56, 页码: 9
作者:  Yang, Qi;  Wei, Jingwei;  Hao, Xiaohan;  Kong, Dexing;  Yu, Xiaoling;  Jiang, Tianan;  Xi, Junqing;  Cai, Wenjia;  Luo, Yanchun;  Jing, Xiang;  Yang, Yilin;  Cheng, Zhigang;  Wu, Jinyu;  Zhang, Huiping;  Liao, Jintang;  Zhou, Pei;  Song, Yu;  Zhang, Yao;  Han, Zhiyu;  Cheng, Wen;  Tang, Lina;  Liu, Fangyi;  Dou, Jianping;  Zheng, Rongqin;  Yu, Jie;  Tian, Jie;  Liang, Ping
收藏  |  浏览/下载：297/0  |  提交时间：2020/08/21
Ultrasound  Convolutional neural network  Focal liver lesions  Diagnosis  
Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 11
作者:  Wei, Jingwei;  Li, Lianwang;  Han, Yuqi;  Gu, Dongsheng;  Chen, Qian;  Wang, Junmei;  Li, Runting;  Zhan, Jiong;  Tian, Jie;  Zhou, Dabiao
收藏  |  浏览/下载：246/0  |  提交时间：2020/07/06
intracranial hemangiopericytoma  meningioma  diagnosis  magnetic resonance imaging  radiomics  
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：270/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：284/114  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载：176/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome