BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

352 related articles for article (PubMed ID: 33125051)

  • 1. FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
    Qiao Z; Bae A; Glass LM; Xiao C; Sun J
    J Am Med Inform Assoc; 2021 Mar; 28(3):444-452. PubMed ID: 33125051
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
    Khan AI; Shah JL; Bhat MM
    Comput Methods Programs Biomed; 2020 Nov; 196():105581. PubMed ID: 32534344
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pneumonia detection in chest X-ray images using an ensemble of deep learning models.
    Kundu R; Das R; Geem ZW; Han GT; Sarkar R
    PLoS One; 2021; 16(9):e0256630. PubMed ID: 34492046
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
    Pereira RM; Bertolini D; Teixeira LO; Silla CN; Costa YMG
    Comput Methods Programs Biomed; 2020 Oct; 194():105532. PubMed ID: 32446037
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates.
    Bhosale YH; Patnaik KS
    Biomed Signal Process Control; 2023 Mar; 81():104445. PubMed ID: 36466567
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
    Albahli S; Yar GNAH
    J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks.
    Sekeroglu B; Ozsahin I
    SLAS Technol; 2020 Dec; 25(6):553-565. PubMed ID: 32948098
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.
    Apostolopoulos ID; Mpesiana TA
    Phys Eng Sci Med; 2020 Jun; 43(2):635-640. PubMed ID: 32524445
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
    Heidari M; Mirniaharikandehei S; Khuzani AZ; Danala G; Qiu Y; Zheng B
    Int J Med Inform; 2020 Dec; 144():104284. PubMed ID: 32992136
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19.
    Hammoudi K; Benhabiles H; Melkemi M; Dornaika F; Arganda-Carreras I; Collard D; Scherpereel A
    J Med Syst; 2021 Jun; 45(7):75. PubMed ID: 34101042
    [TBL] [Abstract][Full Text] [Related]  

  • 13. COVID‑19 detection from chest X-ray images using transfer learning.
    El Houby EMF
    Sci Rep; 2024 May; 14(1):11639. PubMed ID: 38773161
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
    Oh Y; Park S; Ye JC
    IEEE Trans Med Imaging; 2020 Aug; 39(8):2688-2700. PubMed ID: 32396075
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19.
    Huang ML; Liao YC
    Acad Radiol; 2023 Sep; 30(9):1915-1935. PubMed ID: 36526533
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans.
    Gifani P; Shalbaf A; Vafaeezadeh M
    Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):115-123. PubMed ID: 33191476
    [TBL] [Abstract][Full Text] [Related]  

  • 17. COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.
    Zhang R; Guo Z; Sun Y; Lu Q; Xu Z; Yao Z; Duan M; Liu S; Ren Y; Huang L; Zhou F
    Interdiscip Sci; 2020 Dec; 12(4):555-565. PubMed ID: 32959234
    [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. Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.
    Khan A; Akram MU; Nazir S
    PLoS One; 2023; 18(1):e0280352. PubMed ID: 36649367
    [TBL] [Abstract][Full Text] [Related]  

  • 20. StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.
    Autee P; Bagwe S; Shah V; Srivastava K
    Phys Eng Sci Med; 2020 Dec; 43(4):1399-1414. PubMed ID: 33275187
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.