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复旦大学上海医学院 [3]
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期刊论文 [36]
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A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing
期刊论文
Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847
作者:
Peng Chen
;
Xiaoqiang Zhao
;
Qixian Zhu
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/06
Chaotic systems
Computer aided diagnosis
Damage detection
Failure analysis
Fault detection
Machine learning
Optimization
Extreme learning machine
Fault detection and classification
Global searching ability
Heuristic optimization algorithms
ICGOA- KELM
Intrinsic Mode functions
Optimization algorithms
Rolling bearings
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:15/0
  |  
提交时间:2020/12/10
Pulmonary nodules
computer-aided detection (CADe)
computer-aided diagnosis (CADx)
multi-task CAD
Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network
期刊论文
METHODS, 2019, 卷号: 166
作者:
Fan, Ming
;
Li, Yuanzhe
;
Zheng, Shuo
;
Peng, Weijun
;
Tang, Wei
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/05
Digital breast tomosynthesis
Computer-aided detection
Mass
Faster region-based convolutional neural network
Automatic breast tumor detection in ABVS images based on convolutional neural network and superpixel patterns
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 期号: 4
作者:
Wang, Xin
;
Guo, Yi
;
Wang, Yuanyuan
;
Yu, Jinhua
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Automated breast volume scanner
Breast tumor
Computer-aided detection
Convolutional neural network
Superpixel
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:172/0
  |  
提交时间:2019/01/08
Nodule detection
Convolutional neural network
False positive reduction
Computer-aided diagnosis
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:17/0
  |  
提交时间:2019/12/11
Nodule detection
Convolutional neural network
False positive
reduction
Computer-aided diagnosis
Automated Pancreas Segmentation Using Recurrent Adversarial Learning
期刊论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, 2019, 页码: 927-934
作者:
Ning Y.
;
Han Z.
;
Zhong L.
;
Zhang C.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
Adversarial module
Anatomical variability
Computer-aided detection
DCAE
Local-LSTM
Pancreas-GAN
Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
期刊论文
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 卷号: 16, 期号: 6
作者:
Gao, Jun
;
Jiang, Qian
;
Zhou, Bo
;
Chen, Daozheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/06
computer-aided detection
computer-aided diagnosis
convolutional neural networks
deep learning
medical image analysis
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification
期刊论文
Neuroinformatics, 2019
作者:
Li Yang
;
Liu Jingyu
;
Peng Ziwen
;
Sheng Can
;
Kim Minjeong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/30
Computer-aided detection and diagnosis
High-order network
Low-order network
Mild cognitive impairment
Ultra-least squares
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 卷号: 38, 页码: 1227-1239
作者:
Li, Yang
;
Yang, Hao
;
Lei, Baiying
;
Liu, Jingyu
;
Wee, Chong-Yaw
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Functional imaging
brain
computer-aided detection and diagnosis
connectivity analysis
machine learning
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