BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

303 related articles for article (PubMed ID: 36679541)

  • 21. CAFES: Chest X-ray Analysis using Federated Self-supervised Learning for Pediatric COVID-19 Detection.
    Parida A; Anwar SM; Patel MP; Blom M; Einat TT; Tonetti A; Baror Y; Dayan I; Linguraru MG
    Proc SPIE Int Soc Opt Eng; 2024 Feb; 12927():. PubMed ID: 38873338
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans.
    Malik H; Anees T; Naeem A; Naqvi RA; Loh WK
    Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829697
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. COVID-19 classification of X-ray images using deep neural networks.
    Keidar D; Yaron D; Goldstein E; Shachar Y; Blass A; Charbinsky L; Aharony I; Lifshitz L; Lumelsky D; Neeman Z; Mizrachi M; Hajouj M; Eizenbach N; Sela E; Weiss CS; Levin P; Benjaminov O; Bachar GN; Tamir S; Rapson Y; Suhami D; Atar E; Dror AA; Bogot NR; Grubstein A; Shabshin N; Elyada YM; Eldar YC
    Eur Radiol; 2021 Dec; 31(12):9654-9663. PubMed ID: 34052882
    [TBL] [Abstract][Full Text] [Related]  

  • 26. COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods.
    Constantinou M; Exarchos T; Vrahatis AG; Vlamos P
    Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767399
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A comparative study of federated learning methods for COVID-19 detection.
    Darzi E; Sijtsema NM; van Ooijen PMA
    Sci Rep; 2024 Feb; 14(1):3944. PubMed ID: 38365940
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detection of COVID-19 Based on Chest X-rays Using Deep Learning.
    Gouda W; Almurafeh M; Humayun M; Jhanjhi NZ
    Healthcare (Basel); 2022 Feb; 10(2):. PubMed ID: 35206957
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Dynamic-Fusion-Based Federated Learning for COVID-19 Detection.
    Zhang W; Zhou T; Lu Q; Wang X; Zhu C; Sun H; Wang Z; Lo SK; Wang FY
    IEEE Internet Things J; 2021 Nov; 8(21):15884-15891. PubMed ID: 35663640
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices.
    Houssein EH; Sayed A
    Comput Biol Med; 2023 Sep; 163():107195. PubMed ID: 37393788
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.
    Wang Y; Jiang C; Wu Y; Lv T; Sun H; Liu Y; Li L; Pan X
    IEEE J Biomed Health Inform; 2022 Dec; 26(12):5870-5882. PubMed ID: 36074872
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application.
    Guo W; Wang Y; Chen X; Jiang P
    J Intell Manuf; 2023 May; ():1-16. PubMed ID: 37361337
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging.
    Kumar R; Khan AA; Kumar J; Zakria ; Golilarz NA; Zhang S; Ting Y; Zheng C; Wang W
    IEEE Sens J; 2021 Jul; 21(14):16301-16314. PubMed ID: 35789224
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution.
    Manni F; Bukharev A; Jain A; Moorthy S; Rahman A; Bucur A
    AMIA Annu Symp Proc; 2022; 2022():729-738. PubMed ID: 37128389
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.
    Majeed T; Rashid R; Ali D; Asaad A
    Phys Eng Sci Med; 2020 Dec; 43(4):1289-1303. PubMed ID: 33025386
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Simulating Federated Transfer Learning for Lung Segmentation using Modified UNet Model.
    Ambesange S; Annappa B; Koolagudi SG
    Procedia Comput Sci; 2023; 218():1485-1496. PubMed ID: 36743787
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A novel abnormality annotation database for COVID-19 affected frontal lung X-rays.
    Mittal S; Venugopal VK; Agarwal VK; Malhotra M; Chatha JS; Kapur S; Gupta A; Batra V; Majumdar P; Malhotra A; Thakral K; Chhabra S; Vatsa M; Singh R; Chaudhury S
    PLoS One; 2022; 17(10):e0271931. PubMed ID: 36240175
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.