These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

116 related articles for article (PubMed ID: 38951575)

  • 1. Enhancing tunnel crack detection with linear seam using mixed stride convolution and attention mechanism.
    Lang L; Chen XQ; Zhou Q
    Sci Rep; 2024 Jul; 14(1):14997. PubMed ID: 38951575
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Multi-Stage Feature Aggregation and Structure Awareness Network for Concrete Bridge Crack Detection.
    Zhang E; Jiang T; Duan J
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475078
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection.
    Saberironaghi A; Ren J
    J Imaging; 2024 Apr; 10(5):. PubMed ID: 38786555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-scale feature fusion for pavement crack detection based on Transformer.
    Yang Y; Niu Z; Su L; Xu W; Wang Y
    Math Biosci Eng; 2023 Jul; 20(8):14920-14937. PubMed ID: 37679165
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture.
    Fan Z; Li C; Chen Y; Wei J; Loprencipe G; Chen X; Di Mascio P
    Materials (Basel); 2020 Jul; 13(13):. PubMed ID: 32630713
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improved U-net network asphalt pavement crack detection method.
    Zhang Q; Chen S; Wu Y; Ji Z; Yan F; Huang S; Liu Y
    PLoS One; 2024; 19(5):e0300679. PubMed ID: 38820536
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tunnel Crack Detection Method and Crack Image Processing Algorithm Based on Improved Retinex and Deep Learning.
    Wu J; Zhang X
    Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005528
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection.
    Zou Q; Zhang Z; Li Q; Qi X; Wang Q; Wang S
    IEEE Trans Image Process; 2018 Oct; ():. PubMed ID: 30387731
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Crack Segmentation Model Combining Morphological Network and Multiple Loss Mechanism.
    Zhao F; Chao Y; Li L
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772167
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Tunnel Crack Detection Based on U-net and a Convolutional Neural Network with Alternately Updated Clique.
    Li G; Ma B; He S; Ren X; Liu Q
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 32012919
    [TBL] [Abstract][Full Text] [Related]  

  • 11. RUC-Net: A Residual-Unet-Based Convolutional Neural Network for Pixel-Level Pavement Crack Segmentation.
    Yu G; Dong J; Wang Y; Zhou X
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616651
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Pavement Crack Detection Method Based on Multiscale Attention and HFS.
    Li C; Wen Y; Shi Q; Yang F; Ma H; Tian X
    Comput Intell Neurosci; 2022; 2022():1822585. PubMed ID: 35126484
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bridging Convolutional Neural Networks and Transformers for Efficient Crack Detection in Concrete Building Structures.
    Yadav DP; Sharma B; Chauhan S; Dhaou IB
    Sensors (Basel); 2024 Jun; 24(13):. PubMed ID: 39001034
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of Road Crack Images Based on Multistage Feature Fusion and a Texture Awareness Method.
    Guo M; Tian W; Li Y; Sui D
    Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894061
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A semantic segmentation model for road cracks combining channel-space convolution and frequency feature aggregation.
    Zhang M; Xu J
    Sci Rep; 2024 Jul; 14(1):16038. PubMed ID: 38992078
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effective small crack detection based on tunnel crack characteristics and an anchor-free convolutional neural network.
    Wang L; Tang C
    Sci Rep; 2024 May; 14(1):10355. PubMed ID: 38710770
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Study on Crack Development of Concrete Lining with Insufficient Lining Thickness Based on CZM Method.
    Liu J; Zhang X; Lv G; Wang K; Han B; Xie Q
    Materials (Basel); 2021 Dec; 14(24):. PubMed ID: 34947455
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intelligent Crack Detection Method Based on GM-ResNet.
    Li X; Xu X; He X; Wei X; Yang H
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896462
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Tunnel lining crack expansion and maintenance strategy optimization considering train loads: A case study.
    Wang D; Wang J; Rao C; Niu X; Xu Q
    PLoS One; 2023; 18(8):e0290533. PubMed ID: 37624783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion.
    Qu Z; Cao C; Liu L; Zhou DY
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4890-4899. PubMed ID: 33720835
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.