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 *

167 related articles for article (PubMed ID: 34764551)

  • 1. OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.
    Goel T; Murugan R; Mirjalili S; Chakrabartty DK
    Appl Intell (Dordr); 2021; 51(3):1351-1366. PubMed ID: 34764551
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network.
    Goel T; Murugan R; Mirjalili S; Chakrabartty DK
    Cognit Comput; 2021 Jan; ():1-16. PubMed ID: 33520007
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architecture.
    Pathan S; Siddalingaswamy PC; Ali T
    Appl Soft Comput; 2021 Jun; 104():107238. PubMed ID: 33649705
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification.
    El-Kenawy EM; Mirjalili S; Ibrahim A; Alrahmawy M; El-Said M; Zaki RM; Eid MM
    IEEE Access; 2021; 9():36019-36037. PubMed ID: 34812381
    [TBL] [Abstract][Full Text] [Related]  

  • 5. E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network.
    Murugan R; Goel T
    J Ambient Intell Humaniz Comput; 2021; 12(9):8887-8898. PubMed ID: 33425051
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images.
    M Bahgat W; Magdy Balaha H; AbdulAzeem Y; Badawy MM
    PeerJ Comput Sci; 2021; 7():e555. PubMed ID: 34141886
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer.
    Kiziloluk S; Sert E
    Med Biol Eng Comput; 2022 Jun; 60(6):1595-1612. PubMed ID: 35396625
    [TBL] [Abstract][Full Text] [Related]  

  • 9. COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network.
    Castiglione A; Vijayakumar P; Nappi M; Sadiq S; Umer M
    IEEE Trans Industr Inform; 2021 Sep; 17(9):6480-6488. PubMed ID: 37981916
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
    Gopatoti A; Vijayalakshmi P
    J Xray Sci Technol; 2022; 30(3):491-512. PubMed ID: 35213339
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images.
    Sun J; Li X; Tang C; Wang SH; Zhang YD
    Knowl Based Syst; 2021 Nov; 232():107494. PubMed ID: 34539094
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
    Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
    Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization.
    Mahmud T; Rahman MA; Fattah SA
    Comput Biol Med; 2020 Jul; 122():103869. PubMed ID: 32658740
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.
    Kanjanasurat I; Tenghongsakul K; Purahong B; Lasakul A
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772394
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
    Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer.
    Gopatoti A; Vijayalakshmi P
    Biomed Signal Process Control; 2022 Aug; 77():103860. PubMed ID: 35692695
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images.
    Islam MZ; Islam MM; Asraf A
    Inform Med Unlocked; 2020; 20():100412. PubMed ID: 32835084
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ConvCoroNet: a deep convolutional neural network optimized with iterative thresholding algorithm for Covid-19 detection using chest X-ray images.
    Merrouchi M; Benyoussef Y; Skittou M; Atifi K; Gadi T
    J Biomol Struct Dyn; 2024 Jul; 42(11):5699-5712. PubMed ID: 37354142
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images.
    Pathan S; Siddalingaswamy PC; Kumar P; Pai M M M; Ali T; Acharya UR
    Comput Biol Med; 2021 Oct; 137():104835. PubMed ID: 34508976
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images.
    Aslan N; Ozmen Koca G; Kobat MA; Dogan S
    Chemometr Intell Lab Syst; 2022 May; 224():104539. PubMed ID: 35368832
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.