CASIA OpenIR

浏览/检索结果: 共32条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
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:303/58  |  提交时间:2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载:224/33  |  提交时间:2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载:186/36  |  提交时间:2021/06/16
molecular imaging, machine learning, artificial intelligence  
Facile PEG-based isolation and classification of cancer extracellular vesicles and particles with label-free surface-enhanced Raman scattering and pattern recognition algorithm 期刊论文
ANALYST, 2021, 卷号: 146, 期号: 6, 页码: 1949-1955
作者:  Yin, Pengju;  Li, Guoqian;  Zhang, Baoyue;  Farjana, Haque;  Zhao, Lei;  Qin, Hongwei;  Hu, Bo;  Ou, Jianzhen;  Tian, Jie
收藏  |  浏览/下载:167/0  |  提交时间:2021/04/21
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载:317/53  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
PredictFP2: A New Computational Model to Predict Fusion Peptide Domain in All Retroviruses 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 5, 页码: 1714-1720
作者:  Wu, Sijia;  Wu, Xiaoming;  Tian, Jie;  Zhou, Xiaobo;  Huang, Liyu
收藏  |  浏览/下载:141/0  |  提交时间:2021/01/07
Benchmark testing  Amino acids  Support vector machines  Computational modeling  Predictive models  Cells (biology)  Databases  Fusion peptide prediction  FP distribution  hydrophobicity  retrovirus  support vector machine  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:293/51  |  提交时间:2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载:275/65  |  提交时间:2020/10/25
Computed tomography (CT)  
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis 期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:  Wang, Ying;  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Jia, Yanbin;  Zhong, Shuming;  Pan, Jiyang;  Huang, Li;  Tian, Jie
收藏  |  浏览/下载:196/0  |  提交时间:2020/06/22
bipolar disorder  machine learning  radiomics  resting-state functional magnetic resonance imaging  
Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 15
作者:  Cheng, Bo;  Cui, Shiai;  Ma, Xiaoxiao;  Liang, Chenbin
收藏  |  浏览/下载:164/0  |  提交时间:2020/06/02
PolSAR  machine learning  ANSNPE  SVM