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MAF-Net: A multi-scale attention fusion network for automatic surgical instrument segmentation? 期刊论文
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：55/0  |  提交时间：2023/11/17
Semantic segmentation  Deep learning  Surgical instrument  Multi-scale feature fusion  Residual dense network  
A pixel-level deep segmentation network for automatic defect detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11
作者:  Yang, Lei;  Xu, Shuai;  Fan, Junfeng;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：240/0  |  提交时间：2023/02/22
Defect detection  Deep convolutional neural network  U-shape network  ConvLSTM network  
DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 17
作者:  Li, Jianyong;  Gao, Ge;  Yang, Lei;  Bian, Guibin;  Liu, Yanhong
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/17
Feature extraction  Image segmentation  Retinal vessels  Biomedical imaging  Blood vessels  Convolutional neural networks  Task analysis  Deep network  progressive fusion strategy  retinal vessel segmentation  semantic segmentation  U-shape network  
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:  Liu, Yanhong;  Li, Xingyu;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/17
Feature extraction  Gesture recognition  Task analysis  Transformers  Time-frequency analysis  Convolution  Data mining  Convolutional neural network (CNN)  feature fusion  hand gesture recognition  surface electromyography (sEMG) sensor  transformer  
A shape-guided deep residual network for automated CT lung segmentation 期刊论文
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：198/0  |  提交时间：2022/09/19
Deep network architecture  Medical image analysis  Shape stream network  Residual unit  Attention fusion unit  
A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
作者:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong
收藏  |  浏览/下载：145/0  |  提交时间：2022/07/25
Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory  
Force Tracking Control of Functional Electrical Stimulation via Hybrid Active Disturbance Rejection Control 期刊论文
ELECTRONICS, 2022, 卷号: 11, 期号: 11, 页码: 17
作者:  Huo, Benyan;  Wang, Ruishun;  Qin, Yunhui;  Wu, Zhenlong;  Bian, Guibin;  Liu, Yanhong
收藏  |  浏览/下载：168/0  |  提交时间：2022/07/25
functional electrical stimulation  Hammerstein model  active disturbance rejection control  force tracking control  upper-limb rehabilitation  
A nondestructive automatic defect detection method with pixelwise segmentation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：160/0  |  提交时间：2022/06/10
Defect detection  Deep architecture  Image segmentation  Attention fusion  Residual dense connection convolution  network  
Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205
作者:  Yang, Lei;  Fan, Junfeng;  Xu, Shuai;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：188/0  |  提交时间：2022/07/25
Power transmission lines  Inspection  Feature extraction  Sensors  Image segmentation  Navigation  Vision sensors  Power line extraction  deep network architecture  image segmentation  multi-scale feature fusion  attention module  
Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6098-6107
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：193/0  |  提交时间：2022/06/10
Welding  Laser noise  Sensors  Robots  Laser modes  Feature extraction  Lasers  Deep network architecture  image denoising  seam tracking  robot welding  structured light vision