中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 3, 页码: 11
作者:  Zhang, Shuai-Tong;  Wang, Si-Yun;  Zhang, Jie;  Dong, Di;  Mu, Wei;  Xia, Xue-er;  Fu, Fang-Fang;  Lu, Ya-Nan;  Wang, Shuo;  Tang, Zhen-Chao;  Li, Peng;  Qu, Jin-Rong;  Wang, Mei-Yun;  Tian, Jie;  Liu, Jian-Hua
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
Esophageal squamous cell carcinoma  PET/CT  Lymph node metastasis  Artificial intelligence  
Semi-supervised Long-tail Endoscopic Image Classification 期刊论文
Chinese Medical Sciences Journal, 2022, 卷号: 37, 期号: 3, 页码: 171-181
作者:  Runnan Cao;  Mengjie Fang;  Hailing Li;  Jie Tian;  Di Dong
Adobe PDF(9519Kb)  |  收藏  |  浏览/下载：139/34  |  提交时间：2023/06/14
endoscopic image  artificial intelligence  semi-supervised learning  long-tail distribution  image classification  
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis 期刊论文
BMC MEDICINE, 2022, 卷号: 20, 期号: 1, 页码: 15
作者:  Tong, Tong;  Gu, Jionghui;  Xu, Dong;  Song, Ling;  Zhao, Qiyu;  Cheng, Fang;  Yuan, Zhiqiang;  Tian, Shuyuan;  Yang, Xin;  Tian, Jie;  Wang, Kun;  Jiang, Tian'an
Adobe PDF(9703Kb)  |  收藏  |  浏览/下载：322/54  |  提交时间：2022/06/06
Deep learning  Artificial intelligence  Pancreatic ductal adenocarcinoma  Contrast-enhanced ultrasound  Chronic pancreatitis  
Artificial intelligence in gastric cancer: applications and challenges 期刊论文
GASTROENTEROLOGY REPORT, 2022, 卷号: 10, 页码: 16
作者:  Cao, Runnan;  Tang, Lei;  Fang, Mengjie;  Zhong, Lianzhen;  Wang, Siwen;  Gong, Lixin;  Li, Jiazheng;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：185/0  |  提交时间：2023/01/09
gastric cancer  artificial intelligence  radiomics  endoscopy  computed tomography  pathology  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载：309/61  |  提交时间：2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
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：181/34  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：302/52  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：332/57  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 117, 页码: 33-40
作者:  Guo, Donghui;  Gu, Dongsheng;  Wang, Honghai;  Wei, Jingwei;  Wang, Zhenglu;  Hao, Xiaohan;  Ji, Qian;  Cao, Shunqi;  Song, Zhuolun;  Jiang, Jiabing;  Shen, Zhongyang;  Tian, Jie;  Zheng, Hong
收藏  |  浏览/下载：226/0  |  提交时间：2019/12/16
Artificial intelligence  Hepatocellular carcinoma  Liver transplantation  Recurrence  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：435/115  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning