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自动化研究所 [3]
复旦大学上海医学院 [3]
数学与系统科学研究院 [2]
大连理工大学 [1]
深圳先进技术研究院 [1]
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期刊论文 [13]
会议论文 [3]
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Research progress of computer aided diagnosis system for pulmonary nodules in CT images
期刊论文
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2020, 卷号: 28, 期号: 1, 页码: 1-16
作者:
Wang, Yu
;
Wu, Bo
;
Zhang, Nan
;
Liu, Jiabao
;
Ren, Fei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/12/10
Pulmonary nodules
computer-aided detection (CADe)
computer-aided diagnosis (CADx)
multi-task CAD
MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection
期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 24, 期号: 6, 页码: 1652-1663
作者:
Zhu, Hongbo
;
Zhao, Hai
;
Song CH(宋纯贺)
;
Bian, Zijian
;
Bi, Yuanguo
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/11/14
False positive reduction
Spherical surface feature
Deep decision
ORFs
Computer tomography
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect
期刊论文
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2019, 页码: 33
作者:
Liu, Bo
;
Chi, Wenhao
;
Li, Xinran
;
Li, Peng
;
Liang, Wenhua
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/05/24
Computer-aided diagnosis
Pulmonary nodules
Lung cancer
Deep learning
Artificial intelligence
Review
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule
期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 2, 页码: 889-897
作者:
Fan, Li
;
Fang, MengJie
;
Li, ZhaoBin
;
Tu, WenTing
;
Wang, ShengPing
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2019/07/12
Lung
Adenocarcinoma
Tomography
x-ray computed
Computational biology
Solitary pulmonary nodule
Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis
期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2019, 卷号: 64, 期号: 13
作者:
Gong, Jing
;
Liu, Jiyu
;
Hao, Wen
;
Nie, Shengdong
;
Wang, Shengping
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  |  
浏览/下载:38/0
  |  
提交时间:2019/12/05
computer-aided diagnosis (CADx)
ground-glass opacity (GGO)
CT scan
pulmonary nodule classification
radiomic features
Automated pulmonary nodule detection in CT images using deep convolutional neural networks
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 109-119
作者:
Xie, Hongtao
;
Yang, Dongbao
;
Sun, Nannan
;
Chen, Zhineng
;
Zhang, Yongdong
收藏
  |  
浏览/下载:171/0
  |  
提交时间:2019/01/08
Nodule detection
Convolutional neural network
False positive reduction
Computer-aided diagnosis
Malignant-benign classification of pulmonary nodules based on random forest aided by clustering analysis
期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2019, 卷号: 64, 期号: 3
作者:
Wu, Wenhao
;
Hu, Huihui
;
Gong, Jing
;
Li, Xiaobing
;
Huang, Gang
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/06
CT images
pulmonary nodule
computer aided diagnosis
random forest
class decomposition
Deep learning aided decision support for pulmonary nodules diagnosing: a review
期刊论文
JOURNAL OF THORACIC DISEASE, 2018, 卷号: 10, 页码: S867-S875
作者:
Yang, Yixin
;
Feng, Xiaoyi
;
Chi, Wenhao
;
Li, Zhengyang
;
Duan, Wenzhe
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/07/30
Computer-aided diagnosis
convolutional neural network (CNN)
deep learning
pulmonary nodules
Quantitative CT analysis of pulmonary nodules for lung adenocarcinoma risk classification based on an exponential weighted grey scale angular density distribution feature
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2018, 卷号: 160
作者:
Zhai, Changwen
;
Le, Vanbang
;
Yang, Dawei
;
Zhu, Yu
;
Zheng, Bingbing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Lung nodule classification
K-means
Exponential weighted
Reference map
Angular histogram
Classification of Benign and Malignant Pulmonary Nodules Based on Deep Learning
会议论文
2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2018), 2018-01-01
作者:
Zhang, Yuechao
;
Zhang, Jianxin
;
Zhao, Lasheng
;
Wei, Xiaopeng
;
Zhang, Qiang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
deep learning
2.5D view
lung nodule
classification
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