兰州大学机构库

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Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method 期刊论文
IEEE Access, 2020, 卷号: 8, 期号: *, 页码: 202459-202468
Authors:  Lou, Xiao;  Zhu, Youzhe;  Punithakumar, Kumaradevan;  Le, Lawrence H.;  Li, Baosheng
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Computed Tomography  Deep Learning  Esophagus  Segmentation  U-net  Automation  Computerized tomography  Deep learning  Image segmentation  Learning systems  Three dimensional computer graphicsComputed tomography images  Convex-hull approach  Experimental evaluation  Level set algorithm  Segmentation methods  Segmentation results  Semiautomatic methods  Topological levels  
Automatic ventricular nuclear magnetic resonance image processing with deep learning 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020
Authors:  Yong, Binbin;  Wang, Chen;  Shen, Jun;  Li, Fucun;  Yin, Hang;  Zhou, Rui
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Cardiovascular disease  NMR image segmentation  Layered mask R-CNN  Ventricular systolic function detection  
Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 卷号: 68, 页码: 144-156
Authors:  Liu, Y(刘勇);  Bian, Ling;  Meng, Yuhong;  Wang, Huanping;  Zhang, Shifu;  Yang, Yining;  Shao, Xiaomin;  Wang, B(王博)
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Object-based image analysis  Image segmentation  Discrepancy measures  Optimal parameter value combinations  Under-segmentation  Over-segmentation  
A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation 期刊论文
IEEE T NEURAL NETWOR, 2011, 卷号: 22, 期号: 6, 页码: 880-892
Authors:  Chen, Yuli;  Park, Sung-Kee;  Ma, Yide;  Ala, Rajeshkanna
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Automatic parameter setting  dynamic property  general formulae  image segmentation  optimal histogram threshold  simplified pulse coupled neural network  standard deviation  static property  sub-intensity range  
Detailed Mapping of Urban Land Use Based on Multi-Source Data: A Case Study of Lanzhou 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 12
Authors:  Zong, Leli;  He, Sijia;  Lian, Jiting;  Bie, Qiang;  Wang, XY(王晓云);  Dong, Jingru;  Xie, Yaowen
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urban land use  detailed mapping  multi-source data  feature selection  random forest  Lanzhou  
A region segmentation method for region-oriented image compression 期刊论文
NEUROCOMPUTING, 2012, 卷号: 85, 页码: 45-52
Authors:  Zhao, Rongchang;  Ma, Yide
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Image processing  Segmentation  Segmented image coding  Neural network  Fitting function  
Cascaded Attention DenseUNet (CADUNet) for Road Extraction from Very-High-Resolution Images 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 5
Authors:  Li, Jing;  Liu, Y(刘勇);  Zhang, Yindan;  Zhang, Yang
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deep learningroadDenseUNetattention modulesemantic segmentationremote sensing  
Leaf Image Recognition Based on Bag of Features 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 15
Authors:  Zhang, Yaonan;  Cui, Jing;  Wang, Zhaobin;  Kang, Jianfang;  Min, Yufang
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feature extraction  shape context  plant recognition  DPCNN  BOF  
Review of pulse-coupled neural networks 期刊论文
IMAGE AND VISION COMPUTING, 2010, 卷号: 28, 期号: 1, 页码: 5-13
Authors:  Wang, ZB(王兆滨);  Ma, YD(马义德);  Cheng, Feiyan;  Yang, Lizhen
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Pulse-coupled neural networks (PCNN)  Image processing  Artificial neural network  
An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 5311-5325
Authors:  P. Lou;  B. Fu;  H. He;  J. Chen;  T. Wu;  X. Lin;  L. Liu;  D. Fan;  T. Deng
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Canopy chlorophyll content (CCC)  multiscale remote sensing data  random forest (RF) regression  scale matching  unmanned aerial vehicle (UAV)