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 *

134 related articles for article (PubMed ID: 34876763)

  • 1. Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images.
    Bargshady G; Zhou X; Barua PD; Gururajan R; Li Y; Acharya UR
    Pattern Recognit Lett; 2022 Jan; 153():67-74. PubMed ID: 34876763
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.
    Liang Z; Huang JX; Antani S
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559994
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.
    Sandfort V; Yan K; Pickhardt PJ; Summers RM
    Sci Rep; 2019 Nov; 9(1):16884. PubMed ID: 31729403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.
    Albahli S; Albattah W
    J Xray Sci Technol; 2020; 28(5):841-850. PubMed ID: 32804113
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.
    Yoo TK; Choi JY; Jang Y; Oh E; Ryu IH
    Comput Biol Med; 2020 Oct; 125():103980. PubMed ID: 32871294
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
    Albahli S; Ahmad Hassan Yar GN
    J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach.
    Sakib S; Tazrin T; Fouda MM; Fadlullah ZM; Guizani M
    IEEE Access; 2020; 8():171575-171589. PubMed ID: 34976555
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Patch-based generative adversarial neural network models for head and neck MR-only planning.
    Klages P; Benslimane I; Riyahi S; Jiang J; Hunt M; Deasy JO; Veeraraghavan H; Tyagi N
    Med Phys; 2020 Feb; 47(2):626-642. PubMed ID: 31733164
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images.
    Motamed S; Rogalla P; Khalvati F
    Inform Med Unlocked; 2021; 27():100779. PubMed ID: 34841040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach.
    Balaha HM; El-Gendy EM; Saafan MM
    Artif Intell Rev; 2022; 55(6):5063-5108. PubMed ID: 35125606
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation.
    Xue Y; Zhang Y; Neri F
    Int J Neural Syst; 2023 May; 33(5):2350026. PubMed ID: 37016799
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer.
    Jiang H; Tang S; Liu W; Zhang Y
    Comput Struct Biotechnol J; 2021; 19():1391-1399. PubMed ID: 33680351
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Probabilistic self-learning framework for low-dose CT denoising.
    Bai T; Wang B; Nguyen D; Jiang S
    Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
    V J S; D JF
    Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
    [TBL] [Abstract][Full Text] [Related]  

  • 15. COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization.
    Zebin T; Rezvy S
    Appl Intell (Dordr); 2021; 51(2):1010-1021. PubMed ID: 34764549
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated image classification of chest X-rays of COVID-19 using deep transfer learning.
    Dilshad S; Singh N; Atif M; Hanif A; Yaqub N; Farooq WA; Ahmad H; Chu YM; Masood MT
    Results Phys; 2021 Sep; 28():104529. PubMed ID: 34395185
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transfer Learning-Based Automatic Detection of Coronavirus Disease 2019 (COVID-19) from Chest X-ray Images.
    R M; M S; H G; A A R; R R
    J Biomed Phys Eng; 2020 Oct; 10(5):559-568. PubMed ID: 33134214
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays.
    Narayan Das N; Kumar N; Kaur M; Kumar V; Singh D
    Ing Rech Biomed; 2022 Apr; 43(2):114-119. PubMed ID: 32837679
    [TBL] [Abstract][Full Text] [Related]  

  • 19. RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-ray.
    Motamed S; Rogalla P; Khalvati F
    Sci Rep; 2021 Apr; 11(1):8602. PubMed ID: 33883609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Streaking artifact reduction for CBCT-based synthetic CT generation in adaptive radiotherapy.
    Gao L; Xie K; Sun J; Lin T; Sui J; Yang G; Ni X
    Med Phys; 2023 Feb; 50(2):879-893. PubMed ID: 36183234
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.