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 *

160 related articles for article (PubMed ID: 34552660)

  • 1. Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis.
    Krishnamurthy S; Srinivasan K; Qaisar SM; Vincent PMDR; Chang CY
    Comput Math Methods Med; 2021; 2021():8036304. PubMed ID: 34552660
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning.
    Jaiswal A; Gianchandani N; Singh D; Kumar V; Kaur M
    J Biomol Struct Dyn; 2021 Sep; 39(15):5682-5689. PubMed ID: 32619398
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.
    Polat Ç; Karaman O; Karaman C; Korkmaz G; Balcı MC; Kelek SE
    J Xray Sci Technol; 2021; 29(1):19-36. PubMed ID: 33459685
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Study on transfer learning capabilities for pneumonia classification in chest-x-rays images.
    Avola D; Bacciu A; Cinque L; Fagioli A; Marini MR; Taiello R
    Comput Methods Programs Biomed; 2022 Jun; 221():106833. PubMed ID: 35537296
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.
    Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R
    Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare.
    Stephen O; Sain M; Maduh UJ; Jeong DU
    J Healthc Eng; 2019; 2019():4180949. PubMed ID: 31049186
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.
    Alshazly H; Linse C; Barth E; Martinetz T
    Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33440674
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.
    Sethy PK; Behera SK; Anitha K; Pandey C; Khan MR
    J Xray Sci Technol; 2021; 29(2):197-210. PubMed ID: 33492267
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
    Ibrahim DM; Elshennawy NM; Sarhan AM
    Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. CT Image Analysis and Clinical Diagnosis of New Coronary Pneumonia Based on Improved Convolutional Neural Network.
    Deng W; Yang B; Liu W; Song W; Gao Y; Xu J
    Comput Math Methods Med; 2021; 2021():7259414. PubMed ID: 34335865
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning.
    Li X; Tan W; Liu P; Zhou Q; Yang J
    J Healthc Eng; 2021; 2021():5528441. PubMed ID: 33936577
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases.
    Maior CBS; Santana JMM; Lins ID; Moura MJC
    PLoS One; 2021; 16(3):e0247839. PubMed ID: 33647062
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. SOM-LWL method for identification of COVID-19 on chest X-rays.
    Osman AH; Aljahdali HM; Altarrazi SM; Ahmed A
    PLoS One; 2021; 16(2):e0247176. PubMed ID: 33626053
    [TBL] [Abstract][Full Text] [Related]  

  • 18. COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks.
    Shi W; Tong L; Zhu Y; Wang MD
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2376-2387. PubMed ID: 33882010
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images.
    Ahmad F; Ghani Khan MU; Javed K
    Comput Biol Med; 2021 Jul; 134():104401. PubMed ID: 34010794
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning-Based Networks for Detecting Anomalies in Chest X-Rays.
    Badr M; Al-Otaibi S; Alturki N; Abir T
    Biomed Res Int; 2022; 2022():7833516. PubMed ID: 35915789
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.