CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载:227/54  |  提交时间:2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载:370/75  |  提交时间:2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy 期刊论文
CANCER MEDICINE, 2021, 页码: 11
作者:  Su, Qiang;  Liu, Zhenyu;  Chen, Chi;  Gao, Han;  Zhu, Yongbei;  Wang, Liusu;  Pan, Meiqing;  Liu, Jiangang;  Yang, Xin;  Tian, Jie
收藏  |  浏览/下载:282/0  |  提交时间:2021/11/03
biochemical recurrence-free survival  gene signature  LASSO-Cox regression  primary prostate cancer  radical therapy  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载:426/78  |  提交时间:2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载:319/64  |  提交时间:2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2021, 卷号: 9, 期号: 6, 页码: 15
作者:  Mu, Wei;  Jiang, Lei;  Shi, Yu;  Tunali, Ilke;  Gray, Jhanelle E.;  Katsoulakis, Evangelia;  Tian, Jie;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载:177/0  |  提交时间:2021/08/15
tumor biomarkers  immunotherapy  
基于病理图像的细胞生物标志物表达预测算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
作者:  边畅
Adobe PDF(22377Kb)  |  收藏  |  浏览/下载:305/5  |  提交时间:2021/06/21
深度学习,半监督学习,细胞生物标志物,苏木精-伊红染色,多光谱免疫荧光染色,数字病理技术  
基于Unet编码块迁移学习的胃印戒细胞癌诊断研究 学位论文
, 北京市海淀区中国科学院自动化研究所智能化大厦910: 中国科学院大学-中国科学院自动化研究所, 2021
作者:  李聪
Adobe PDF(3289Kb)  |  收藏  |  浏览/下载:267/5  |  提交时间:2021/06/16
胃印戒细胞癌  迁移学习  深度学习  诊断  生存期  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:331/35  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Hepatic differentiation of human embryonic stem cells by coupling substrate stiffness and microtopography 期刊论文
BIOMATERIALS SCIENCE, 2021, 页码: 15
作者:  Luo, Chunhua;  Lu, Dongyuan;  Zheng, Lu;  Zhang, Fan;  Zhang, Xiao;  Lu, Shouqin;  Zhang, Chen;  Jia, Xiaohua;  Shu, Xinyu;  Li, Peiwen;  Li, Zhan;  Long, Mian
Adobe PDF(7505Kb)  |  收藏  |  浏览/下载:239/10  |  提交时间:2021/05/17