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 *

196 related articles for article (PubMed ID: 37447919)

  • 1. Image-Processing-Based Subway Tunnel Crack Detection System.
    Liu X; Hong Z; Shi W; Guo X
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447919
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic crack detection and classification method for subway tunnel safety monitoring.
    Zhang W; Zhang Z; Qi D; Liu Y
    Sensors (Basel); 2014 Oct; 14(10):19307-28. PubMed ID: 25325337
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Defect Detection of Subway Tunnels Using Advanced U-Net Network.
    Wang A; Togo R; Ogawa T; Haseyama M
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336501
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching.
    Maeda K; Takada S; Haruyama T; Togo R; Ogawa T; Haseyama M
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433529
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Deep learning based real-time tourist spots detection and recognition mechanism.
    Chen YC; Yu KM; Kao TH; Hsieh HL
    Sci Prog; 2021 Sep; 104(3_suppl):368504211044228. PubMed ID: 34668799
    [TBL] [Abstract][Full Text] [Related]  

  • 10. White blood cells detection and classification based on regional convolutional neural networks.
    Kutlu H; Avci E; Özyurt F
    Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Crack Length Measurement Using Convolutional Neural Networks and Image Processing.
    Yuan Y; Ge Z; Su X; Guo X; Suo T; Liu Y; Yu Q
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502782
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Vision Measurement of Tunnel Structures with Robust Modelling and Deep Learning Algorithms.
    Xu X; Yang H
    Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32882882
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms.
    Zhao M; Shi P; Xu X; Xu X; Liu W; Yang H
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146444
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of the Nosema Cells Identification for Microscopic Images.
    Dghim S; Travieso-González CM; Burget R
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33924940
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition.
    Fuentes A; Yoon S; Kim SC; Park DS
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28869539
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tongue crack recognition using segmentation based deep learning.
    Yan J; Cai J; Xu Z; Guo R; Zhou W; Yan H; Xu Z; Wang Y
    Sci Rep; 2023 Jan; 13(1):511. PubMed ID: 36627326
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques.
    Maity R; Raja Sankari VM; U S; N A R; Salvador AL
    Biomed Phys Eng Express; 2024 Jun; 10(4):. PubMed ID: 38901416
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.
    Hoang ND
    Comput Intell Neurosci; 2018; 2018():7913952. PubMed ID: 30581459
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.