中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [15]
采集方式
OAI收割 [15]
内容类型
期刊论文 [15]
发表日期
2023 [1]
2022 [2]
2021 [4]
2020 [7]
2019 [1]
学科主题
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共15条,第1-10条
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Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer
期刊论文
OAI收割
MEDICAL PHYSICS, 2023, 页码: 11
作者:
Liu, Shengyuan
;
Deng, Jingyu
;
Dong, Di
;
Fang, Mengjie
;
Ye, Zhaoxiang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2023/11/17
deep learning
extranodal soft tissue metastasis
gastric cancer
radiomics
A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma
期刊论文
OAI收割
MEDICAL PHYSICS, 2022, 页码: 13
作者:
Wei, Jingwei
;
Ji, Qian
;
Gao, Yu
;
Yang, Xiaozhen
;
Guo, Donghui
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/03/20
computed tomography
deep learning
hepatocellular carcinoma
histopathological grading
radiomics
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma
期刊论文
OAI收割
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:
Zhao, Xun
;
Liang, Yu-Jing
;
Zhang, Xu
;
Wen, Dong-Xiang
;
Fan, Wei
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2022/06/10
Recurrent nasopharyngeal carcinoma
Survival analysis
Radiomics
Deep learning
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients
期刊论文
OAI收割
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:
Zhang, Liwen
;
Dong, Di
;
Zhong, Lianzhen
;
Li, Cong
;
Hu, Chaoen
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/12/28
Hazards
Feature extraction
Computed tomography
Cancer
Radiomics
Indexes
Bioinformatics
Overall survival
gastric cancer
multi-level
CT image
deep learning
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2021/11/02
COVID-19
Deep learning
Radiomics
Hospitals
Computed tomography
Lung
Solid modeling
COVID-19
deep learning
radiomics
prognosis
computed tomography
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study
期刊论文
OAI收割
MEDICAL PHYSICS, 2021, 页码: 12
作者:
Wu, Xiangjun
;
Dong, Di
;
Zhang, Lu
;
Fang, Mengjie
;
Zhu, Yongbei
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/05/06
deep learning
peritumor
radiomics
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma
期刊论文
OAI收割
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:
Fu, Sirui
;
Pan, Meiqing
;
Zhang, Jie
;
Zhang, Hui
;
Tang, Zhenchao
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/11/03
aggressive disease progression
deep learning radiomics
clinical factors
high-risk
risk prediction
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2021/03/02
COVID-19
radiomics
deep learning
computed tomography (CT)
Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases
期刊论文
OAI收割
MEDICAL PHYSICS, 2020, 页码: 10
作者:
Wei, Jingwei
;
Cheng, Jin
;
Gu, Dongsheng
;
Chai, Fan
;
Hong, Nan
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/01/06
colorectal liver metastases
chemotherapy
radiomics
contrast‐
enhanced multidetector computed tomography
deep learning
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/01/06
Stomach neoplasms
Multi-detector computed tomography
Radiomics
Deep learning