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 *

164 related articles for article (PubMed ID: 34372203)

  • 1. Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder.
    Kim J; Ko J; Choi H; Kim H
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372203
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Defect Detection in Printed Circuit Boards Using Semi-Supervised Learning.
    Pham TTA; Thoi DKT; Choi H; Park S
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991958
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model.
    Mei S; Wang Y; Wen G
    Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29614813
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.
    Adibhatla VA; Chih HC; Hsu CC; Cheng J; Abbod MF; Shieh JS
    Math Biosci Eng; 2021 May; 18(4):4411-4428. PubMed ID: 34198445
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders.
    Candido de Oliveira D; Nassu BT; Wehrmeister MA
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772392
    [TBL] [Abstract][Full Text] [Related]  

  • 6. End-to-end deep learning framework for printed circuit board manufacturing defect classification.
    Bhattacharya A; Cloutier SG
    Sci Rep; 2022 Jul; 12(1):12559. PubMed ID: 35869131
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Character Recognition of Components Mounted on Printed Circuit Board Using Deep Learning.
    Gang S; Fabrice N; Chung D; Lee J
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33919360
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of Training Deep Learning Models for PCB Defect Detection.
    Park JH; Kim YS; Seo H; Cho YJ
    Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36904970
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic optical inspection platform for real-time surface defects detection on plane optical components based on semantic segmentation.
    Karangwa J; Kong L; Yi D; Zheng J
    Appl Opt; 2021 Jul; 60(19):5496-5506. PubMed ID: 34263836
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning.
    Ferguson MK; Ronay A; Lee YT; Law KH
    Smart Sustain Manuf Syst; 2018; 2():. PubMed ID: 31093604
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Conditional TransGAN-Based Data Augmentation for PCB Electronic Component Inspection.
    Wang C; Huang G; Huang Z; He W
    Comput Intell Neurosci; 2023; 2023():2024237. PubMed ID: 36660560
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection.
    Wan Y; Gao L; Li X; Gao Y
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298322
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders.
    Freiman M; Manjeshwar R; Goshen L
    Med Phys; 2019 May; 46(5):2223-2231. PubMed ID: 30821364
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sensor fusion of phase measuring profilometry and stereo vision for three-dimensional inspection of electronic components assembled on printed circuit boards.
    Hong D; Lee H; Kim MY; Cho H; Moon JI
    Appl Opt; 2009 Jul; 48(21):4158-69. PubMed ID: 19623230
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semantic Segmentation of a Printed Circuit Board for Component Recognition Based on Depth Images.
    Li D; Li C; Chen C; Zhao Z
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32957535
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Autoencoder-based detection of near-surface defects in ultrasonic testing.
    Ha JM; Seung HM; Choi W
    Ultrasonics; 2022 Feb; 119():106637. PubMed ID: 34798565
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images.
    Wang Y; Zhang Y; Zheng L; Yin L; Chen J; Lu J
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695986
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Industrial Anomaly Detection with Skip Autoencoder and Deep Feature Extractor.
    Tang TW; Hsu H; Huang WR; Li KM
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502029
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
    Pang S; Yu Z; Orgun MA
    Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder.
    Zhang H; Guo W; Zhang S; Lu H; Zhao X
    J Digit Imaging; 2022 Apr; 35(2):153-161. PubMed ID: 35013826
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.