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  
A Linear Approximate Algorithm for Earth Mover's Distance with Thresholded Ground Distance 期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 页码: -
Authors:  Li, LJ(李龙杰);  Ma, M;  Lei, P;  Wang, XP;  Chen, XY(陈晓云);  Chen, XY (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China.
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Toward Bridging Microexpressions From Different Domains 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: PP, 期号: 99, 页码: 1-14
Authors:  Yuan Zong;  Wenming Zheng;  Zhen Cui;  Guoying Zhao;  Hu, B(胡斌)
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Training  Testing  Face recognition  Speech recognition  Emotion recognition  Task analysis  Databases  
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  
NECESSARY AND SUFFICIENT CONDITIONS FOR HYPOELLIPTICITY FOR A CLASS OF CONVOLUTION-OPERATORS 期刊论文
CANADIAN JOURNAL OF MATHEMATICS-JOURNAL CANADIEN DE MATHEMATIQUES, 1994, 卷号: 46, 期号: 1, 页码: 212-224
Authors:  LUO, XB
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A region segmentation method for region-oriented image compression 期刊论文
NEUROCOMPUTING, 2012, 卷号: 85, 页码: 45-52
Authors:  Zhao, RC;  Ma, YD(马义德);  Zhao, RC (reprint author), NW Univ Nationalities, Coll Elect Engn, 1 Xibei Xincun, Lanzhou, Gansu, Peoples R China.
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Image processing  Segmentation  Segmented image coding  Neural network  Fitting function  
Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15
Authors:  Guo, Weitong;  Yang, Hongwu;  Liu, ZY(刘振宇);  Xu, Yaping;  Hu, B(胡斌)
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deep belief networksfacial expression3D deep informationaffective rating systemdepression recognition