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 *

157 related articles for article (PubMed ID: 30505897)

  • 1. SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks.
    Dorafshan S; Thomas RJ; Maguire M
    Data Brief; 2018 Dec; 21():1664-1668. PubMed ID: 30505897
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhanced Intelligent Identification of Concrete Cracks Using Multi-Layered Image Preprocessing-Aided Convolutional Neural Networks.
    Fu R; Xu H; Wang Z; Shen L; Cao M; Liu T; Novák D
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32260302
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Historical-crack18-19: A dataset of annotated images for non-invasive surface crack detection in historical buildings.
    Elhariri E; El-Bendary N; Taie SA
    Data Brief; 2022 Apr; 41():107865. PubMed ID: 35146090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Automatic Detection of Cracks on Concrete Surfaces in the Presence of Shadows.
    Palevičius P; Pal M; Landauskas M; Orinaitė U; Timofejeva I; Ragulskis M
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632070
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras.
    Sjölander A; Belloni V; Peterson V; Ledin J
    Data Brief; 2023 Dec; 51():109703. PubMed ID: 37965615
    [TBL] [Abstract][Full Text] [Related]  

  • 8. VoroCrack3d: An annotated semi-synthetic 3d image data set of cracked concrete.
    Jung C; Redenbach C; Schladitz K
    Data Brief; 2024 Jun; 54():110474. PubMed ID: 38779413
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks.
    Kim JY; Park MW; Huynh NT; Shim C; Park JW
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112330
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique.
    Kim B; Cho S
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30322206
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements.
    Słoński M; Tekieli M
    Materials (Basel); 2020 Aug; 13(16):. PubMed ID: 32785087
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Transfer learned deep feature based crack detection using support vector machine: a comparative study.
    Bhalaji Kharthik KS; Onyema EM; Mallik S; Siva Prasad BVV; Qin H; Selvi C; Sikha OK
    Sci Rep; 2024 Jun; 14(1):14517. PubMed ID: 38914654
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Crack detection for concrete bridges with imaged based deep learning.
    Wan C; Xiong X; Wen B; Gao S; Fang D; Yang C; Xue S
    Sci Prog; 2022; 105(4):368504221128487. PubMed ID: 36177737
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 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. 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]  

  • 18. Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application.
    Li Y; Li H; Wang H
    Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30208665
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An improved transformer-based concrete crack classification method.
    Ye G; Dai W; Tao J; Qu J; Zhu L; Jin Q
    Sci Rep; 2024 Mar; 14(1):6226. PubMed ID: 38485707
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Human Tooth Crack Image Analysis with Multiple Deep Learning Approaches.
    Li Z; Li Z; Zhang Y; Wang H; Li X; Zhang J; Zaid W; Yao S; Xu J
    Ann Biomed Eng; 2024 Sep; ():. PubMed ID: 39242442
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.