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科研机构
自动化研究所 [7]
山东大学 [2]
北京航空航天大学 [1]
湖南大学 [1]
内容类型
会议论文 [6]
期刊论文 [5]
发表日期
2019 [3]
2018 [1]
2017 [7]
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浏览/检索结果:
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:
Wang, Shuo
;
Shi, Jingyun
;
Ye, Zhaoxiang
;
Dong, Di
;
Yu, Dongdong
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2019/04/30
Predicting EGFR Mutation Status in Lung Adenocarcinoma on CT Image Using Deep Learning.
期刊论文
The European respiratory journal, 2019
作者:
Shuo Wang
;
Jingyun Shi
;
Zhaoxiang Ye
;
Di Dong
;
Dongdong Yu
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/13
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53
作者:
Wang, Shuo
;
Shi, Jingyun
;
Ye, Zhaoxiang
;
Dong, Di
;
Yu, Dongdong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
adult
Article
cancer patient
clinical feature
cohort analysis
computer assisted tomography
controlled study
decision making
deep learning
EGFR gene
female
gene mutation
human
independent variable
lung adenocarcinoma
major clinical study
male
middle aged
oncogene
prediction
preoperative period
priority journal
retrospective study
tumor localization
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:
Han, Yuqi
;
Xie, Zhen
;
Zang, Yali
;
Zhang, Shuaitong
;
Gu, Dongsheng
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2019/07/12
Lower-grade glioma
1p
19q Co-deletion
Prediction
Radiomics
Magnetic resonance imaging
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:
Wang, Shuo
;
Zhou, Mu
;
Liu, Zaiyi
;
Liu, Zhenyu
;
Gu, Dongsheng
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2018/01/08
Lung Nodule Segmentation
Convolutional Neural Networks
Deep Learning
Computer-aided Diagnosis
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation
会议论文
Jeju Island, Korea, 2017-7
作者:
Wang, Shuo
;
Zhou, Mu
;
Gevaert, Olivier
;
Tang, Zhenchao
;
Dong, Di
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/04/30
CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER
会议论文
ISBI2017, 澳大利亚墨尔本, 2017.04.17-2017.04.22
作者:
Dongdong,Yu
;
Mu,Zhou
;
Feng,Yang
;
Di,Dong
;
Olivier,Gevaert
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2017/05/07
Non-Small Cell Lung Carcinoma
Convolutional neural networks
Computed tomography
Computed-aided diagnosis
Developing a Radiomics Framework for Classifying Non-Small Cell Lung Carcinoma Subtypes
会议论文
Orlando, Florida USA, 2017-02
作者:
Yu, Dongdong
;
Zang, Yali
;
Dong, Di
;
Zhou, Mu
;
Gevaert, Olivier
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2016/10/28
Radiomics
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation
会议论文
39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), JUL 11-15, 2017
作者:
Wang, Shuo
;
Zhou, Mu
;
Gevaert, Olivier
;
Tang, Zhenchao
;
Dong, Di
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/31
A multi-view deep convolutional neural networks for lung nodule segmentation
会议论文
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, July 11, 2017 - July 15, 2017
作者:
Wang, Shuo
;
Zhou, Mu
;
Gevaert, Olivier
;
Tang, Zhenchao
;
Dong, Di
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
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