BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

132 related articles for article (PubMed ID: 34925500)

  • 1. D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.
    Wang X; Hu Y; Luo Y; Wang W
    Comput Intell Neurosci; 2021; 2021():9952109. PubMed ID: 34925500
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Research on coronavirus disease 2019 (COVID-19) detection method based on depthwise separable DenseNet in chest X-ray images].
    Feng Y; Qiu D; Cao H; Zhang J; Xin Z; Liu J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Aug; 37(4):557-565. PubMed ID: 32840070
    [TBL] [Abstract][Full Text] [Related]  

  • 3. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images.
    Reis HC; Turk V
    Artif Intell Med; 2022 Dec; 134():102427. PubMed ID: 36462906
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Cascade-SEME network for COVID-19 detection in chest x-ray images.
    Lv D; Wang Y; Wang S; Zhang Q; Qi W; Li Y; Sun L
    Med Phys; 2021 May; 48(5):2337-2353. PubMed ID: 33778966
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.
    Quan H; Xu X; Zheng T; Li Z; Zhao M; Cui X
    Comput Biol Med; 2021 Jun; 133():104399. PubMed ID: 33892307
    [TBL] [Abstract][Full Text] [Related]  

  • 6. UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.
    Widodo CS; Naba A; Mahasin MM; Yueniwati Y; Putranto TA; Patra PI
    J Xray Sci Technol; 2022; 30(1):57-71. PubMed ID: 34864714
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
    Ukwuoma CC; Qin Z; Agbesi VK; Ejiyi CJ; Bamisile O; Chikwendu IA; Tienin BW; Hossin MA
    Comput Biol Med; 2022 Nov; 150():106195. PubMed ID: 37859288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images.
    Eshraghi MA; Ayatollahi A; Shokouhi SB
    BMC Med Imaging; 2023 Jun; 23(1):83. PubMed ID: 37322450
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network.
    Khan SH; Sohail A; Zafar MM; Khan A
    Photodiagnosis Photodyn Ther; 2021 Sep; 35():102473. PubMed ID: 34348186
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.
    Jia G; Lam HK; Xu Y
    Comput Biol Med; 2021 Jul; 134():104425. PubMed ID: 33971427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images.
    Dhiman G; Chang V; Kant Singh K; Shankar A
    J Biomol Struct Dyn; 2022 Aug; 40(13):5836-5847. PubMed ID: 33475019
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19.
    Hong G; Chen X; Chen J; Zhang M; Ren Y; Zhang X
    Sci Rep; 2021 Sep; 11(1):18048. PubMed ID: 34508120
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.
    Wang W; Li Y; Li J; Zhang P; Wang X
    Comput Intell Neurosci; 2021; 2021():3604900. PubMed ID: 34239548
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19.
    Awasthi N; Dayal A; Cenkeramaddi LR; Yalavarthy PK
    IEEE Trans Ultrason Ferroelectr Freq Control; 2021 Jun; 68(6):2023-2037. PubMed ID: 33755565
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.
    Liu X; Wu W; Chun-Wei Lin J; Liu S
    Curr Med Imaging; 2023; 19(4):333-346. PubMed ID: 35692156
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.