BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

116 related articles for article (PubMed ID: 35613061)

  • 1. SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images.
    Zhao H; Fang Z; Ren J; MacLellan C; Xia Y; Li S; Sun M; Ren K
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):4032-4043. PubMed ID: 35613061
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.
    Fang Z; Ren J; MacLellan C; Li H; Zhao H; Hussain A; Fortino G
    IEEE Trans Mol Biol Multiscale Commun; 2022 Mar; 8(1):17-27. PubMed ID: 35935666
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
    Rahman T; Khandakar A; Qiblawey Y; Tahir A; Kiranyaz S; Abul Kashem SB; Islam MT; Al Maadeed S; Zughaier SM; Khan MS; Chowdhury MEH
    Comput Biol Med; 2021 May; 132():104319. PubMed ID: 33799220
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization.
    Deepak G; Madiajagan M; Kulkarni S; Ahmed AN; Gopatoti A; Ammisetty V
    J Xray Sci Technol; 2023; 31(3):483-509. PubMed ID: 36872839
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Classification of lungs infected COVID-19 images based on inception-ResNet.
    Chen Y; Lin Y; Xu X; Ding J; Li C; Zeng Y; Liu W; Xie W; Huang J
    Comput Methods Programs Biomed; 2022 Oct; 225():107053. PubMed ID: 35964421
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset.
    Roy S; Tyagi M; Bansal V; Jain V
    Comput Biol Med; 2022 Nov; 150():106092. PubMed ID: 36208598
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images.
    Alshayeji MH; ChandraBhasi Sindhu S; Abed S
    BMC Bioinformatics; 2022 Jul; 23(1):264. PubMed ID: 35794537
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images.
    Xu Y; Lam HK; Jia G
    Neurocomputing (Amst); 2021 Jul; 443():96-105. PubMed ID: 33753962
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images.
    Liu H; Wang L; Nan Y; Jin F; Wang Q; Pu J
    Comput Med Imaging Graph; 2019 Jul; 75():66-73. PubMed ID: 31174100
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.
    Li J; Wang Y; Wang S; Wang J; Liu J; Jin Q; Sun L
    IEEE J Biomed Health Inform; 2021 May; 25(5):1336-1346. PubMed ID: 33560995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A CNN-transformer fusion network for COVID-19 CXR image classification.
    Cao K; Deng T; Zhang C; Lu L; Li L
    PLoS One; 2022; 17(10):e0276758. PubMed ID: 36301907
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.
    Wang W; Jiang Y; Wang X; Zhang P; Li J
    BMC Med Imaging; 2022 Jul; 22(1):135. PubMed ID: 35907793
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Contour-aware multi-label chest X-ray organ segmentation.
    Kholiavchenko M; Sirazitdinov I; Kubrak K; Badrutdinova R; Kuleev R; Yuan Y; Vrtovec T; Ibragimov B
    Int J Comput Assist Radiol Surg; 2020 Mar; 15(3):425-436. PubMed ID: 32034633
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
    Gao K; Su J; Jiang Z; Zeng LL; Feng Z; Shen H; Rong P; Xu X; Qin J; Yang Y; Wang W; Hu D
    Med Image Anal; 2021 Jan; 67():101836. PubMed ID: 33129141
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times.
    Yu SN; Chiu MC; Chang YP; Liang CY; Chen W
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475013
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.