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 *

108 related articles for article (PubMed ID: 34276114)

  • 1. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray.
    Zhang YD; Zhang Z; Zhang X; Wang SH
    Pattern Recognit Lett; 2021 Oct; 150():8-16. PubMed ID: 34276114
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling.
    Zhang Y; Satapathy SC; Zhu LY; Gorriz JM; Wang S
    IEEE Sens J; 2022 Sep; 22(18):17573-17582. PubMed ID: 36346095
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection.
    Ismael AM; Şengür A
    Health Inf Sci Syst; 2020 Dec; 8(1):29. PubMed ID: 33014355
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM.
    Wang SH; Fernandes SL; Zhu Z; Zhang YD
    IEEE Sens J; 2022 Sep; 22(18):17431-17438. PubMed ID: 36346097
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved detection of aortic dissection in non-contrast-enhanced chest CT using an attention-based deep learning model.
    Dong F; Song J; Chen B; Xie X; Cheng J; Song J; Huang Q
    Heliyon; 2024 Jan; 10(2):e24547. PubMed ID: 38304839
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network.
    Kumar A; Tripathi AR; Satapathy SC; Zhang YD
    Pattern Recognit; 2022 Feb; 122():108255. PubMed ID: 34456369
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis.
    Wang SH; Zhu Z; Zhang YD
    Front Public Health; 2021; 9():768278. PubMed ID: 34778194
    [No Abstract]   [Full Text] [Related]  

  • 8. A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks
    Zhang R; Duan H; Cheng J; Zheng Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1552-1555. PubMed ID: 33018288
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network.
    Gour M; Jain S
    Biocybern Biomed Eng; 2022; 42(1):27-41. PubMed ID: 34908638
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis.
    Zhang YD; Satapathy SC; Liu S; Li GR
    Mach Vis Appl; 2021; 32(1):14. PubMed ID: 33169050
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.
    Lee YW; Huang SK; Chang RF
    Artif Intell Med; 2022 Oct; 132():102382. PubMed ID: 36207088
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans.
    Islam MK; Habiba SU; Khan TA; Tasnim F
    Comput Methods Programs Biomed Update; 2022; 2():100064. PubMed ID: 36039092
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR.
    Zhuang Y; Rahman MF; Wen Y; Pokojovy M; McCaffrey P; Vo A; Walser E; Moen S; Xu H; Tseng TB
    J Xray Sci Technol; 2022; 30(5):847-862. PubMed ID: 35634810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
    Wang SH; Govindaraj VV; Górriz JM; Zhang X; Zhang YD
    Inf Fusion; 2021 Mar; 67():208-229. PubMed ID: 33052196
    [TBL] [Abstract][Full Text] [Related]  

  • 17. COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network.
    Fan Y; Liu J; Yao R; Yuan X
    Pattern Recognit; 2021 Nov; 119():108055. PubMed ID: 34103766
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning approaches for COVID-19 detection based on chest X-ray images.
    Ismael AM; Şengür A
    Expert Syst Appl; 2021 Feb; 164():114054. PubMed ID: 33013005
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images.
    Sharma A; Mishra PK
    Pattern Recognit; 2022 Nov; 131():108826. PubMed ID: 35698723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
    Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.