中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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机构
自动化研究所 [8]
地理科学与资源研究所 [6]
沈阳自动化研究所 [2]
合肥物质科学研究院 [2]
计算技术研究所 [1]
深海科学与工程研究所 [1]
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OAI收割 [20]
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期刊论文 [19]
会议论文 [1]
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2023 [1]
2022 [6]
2021 [7]
2020 [3]
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2017 [2]
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MAF-Net: A multi-scale attention fusion network for automatic surgical instrument segmentation?
期刊论文
OAI收割
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 85, 页码: 10
作者:
Yang, Lei
;
Gu, Yuge
;
Bian, Guibin
;
Liu, Yanhong
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/11/17
Semantic segmentation
Deep learning
Surgical instrument
Multi-scale feature fusion
Residual dense network
An attention-guided network for surgical instrument segmentation from endoscopic images
期刊论文
OAI收割
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 151, 页码: 11
作者:
Yang, Lei
;
Gu, Yuge
;
Bian, Guibin
;
Liu, Yanhong
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/02/22
Surgical instruments
Deep learning
Semantic segmentation
Residual network
Dual attention mechanism
A comparison of contributions of individual muscle and combination muscles to interaction force prediction using KPCA-DRSN model
期刊论文
OAI收割
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 卷号: 10
作者:
Lu, Wei
;
Gao, Lifu
;
Cao, Huibin
;
Li, Zebin
;
Wang, Daqing
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/12/23
surface electromyography
kernel principal component analysis
deep residual shrinkage network
mean impact value
interaction force prediction
A shape-guided deep residual network for automated CT lung segmentation
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 250, 页码: 10
作者:
Yang, Lei
;
Gu, Yuge
;
Huo, Benyan
;
Liu, Yanhong
;
Bian, Guibin
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/09/19
Deep network architecture
Medical image analysis
Shape stream network
Residual unit
Attention fusion unit
Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria
期刊论文
OAI收割
TALANTA, 2022, 卷号: 244, 页码: 6
作者:
Liu, Bo
;
Liu, Kunxiang
;
Wang, Nan
;
Ta, Kaiwen
;
Liang, Peng
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/05/26
Progressive generative adversarial network
Residual network
Raman spectroscopy
Optical tweezers
Classification
Deep-sea microorganism
Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection
期刊论文
OAI收割
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13
作者:
Jiao, Lin
;
Li, Gaoqiang
;
Chen, Peng
;
Wang, Rujing
;
Du, Jianming
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/12/23
deep learning
convolutional neural network
deformable residual network
agricultural pest
target detection
A nondestructive automatic defect detection method with pixelwise segmentation
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:
Yang, Lei
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/06/10
Defect detection
Deep architecture
Image segmentation
Attention fusion
Residual dense connection convolution
network
Classifying the tracing difficulty of 3D neuron image blocks based on deep learning
期刊论文
OAI收割
Brain Informatics, 2021, 卷号: 8, 期号: 1
作者:
Yang,Bin
;
Huang,Jiajin
;
Wu,Gaowei
;
Yang,Jian
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/28
Deep learning
Tracing difficulty classification
Residual neural network
Fully connected neural network
Long short-term memory network
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:
Li, Lianfa
;
Fang, Ying
;
Wu, Jun
;
Wang, Jinfeng
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2021/11/05
Bias
deep learning
encoder-decoder
full residual deep network
non-linear regression
prediction of satellite aerosol optical depth (AOD) and PM2.5
spatiotemporal modeling
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:
Li, Lianfa
;
Fang, Ying
;
Wu, Jun
;
Wang, Jinfeng
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/11/05
Bias
deep learning
encoder-decoder
full residual deep network
non-linear regression
prediction of satellite aerosol optical depth (AOD) and PM2.5
spatiotemporal modeling