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 *

242 related articles for article (PubMed ID: 32272652)

  • 1. Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network.
    Feng C; Zhang H; Wang H; Wang S; Li Y
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32272652
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle.
    Kim IH; Jeon H; Baek SC; Hong WH; Jung HJ
    Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29890652
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DRA-UNet for Coal Mining Ground Surface Crack Delineation with UAV High-Resolution Images.
    Wang W; Du W; Song X; Chen S; Zhou H; Zhang H; Zou Y; Zhu J; Cheng C
    Sensors (Basel); 2024 Sep; 24(17):. PubMed ID: 39275672
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network.
    Islam MMM; Kim JM
    Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31574963
    [TBL] [Abstract][Full Text] [Related]  

  • 6. UAV-Based Image and LiDAR Fusion for Pavement Crack Segmentation.
    Elamin A; El-Rabbany A
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067688
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A Novel Approach for UAV Image Crack Detection.
    Li Y; Ma J; Zhao Z; Shi G
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590994
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. UAV-Driven Structural Crack Detection and Location Determination Using Convolutional Neural Networks.
    Choi D; Bell W; Kim D; Kim J
    Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33918951
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network.
    Dong C; Li L; Yan J; Zhang Z; Pan H; Catbas FN
    Sensors (Basel); 2021 Jun; 21(12):. PubMed ID: 34208691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections.
    Egodawela S; Khodadadian Gostar A; Buddika HADS; Dammika AJ; Harischandra N; Navaratnam S; Mahmoodian M
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544199
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
    Guo X; Schwartz LH; Zhao B
    Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Learning to Detect Cracks on Damaged Concrete Surfaces Using Two-Branched Convolutional Neural Network.
    Lee J; Kim HS; Kim N; Ryu EM; Kang JW
    Sensors (Basel); 2019 Nov; 19(21):. PubMed ID: 31689987
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vision and Deep Learning-Based Algorithms to Detect and Quantify Cracks on Concrete Surfaces from UAV Videos.
    Bhowmick S; Nagarajaiah S; Veeraraghavan A
    Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33167411
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Mosaic crack mapping of footings by convolutional neural networks.
    Buatik A; Thansirichaisree P; Kalpiyapun P; Khademi N; Pasityothin I; Poovarodom N
    Sci Rep; 2024 Apr; 14(1):7851. PubMed ID: 38570570
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data.
    Gebrehiwot A; Hashemi-Beni L; Thompson G; Kordjamshidi P; Langan TE
    Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30934695
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Efficient attention-based deep encoder and decoder for automatic crack segmentation.
    Kang DH; Cha YJ
    Struct Health Monit; 2022 Sep; 21(5):2190-2205. PubMed ID: 36039173
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Binocular Vision-Based Crack Detection and Measurement Method Incorporating Semantic Segmentation.
    Zhang Z; Shen Z; Liu J; Shu J; Zhang H
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202865
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.