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Journal Abstract Search

416 related items for PubMed ID: 35221781

  • 1. Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.
    Bhargava A, Bansal A, Goyal V.
    Multimed Tools Appl; 2022; 81(10):13731-13750. PubMed ID: 35221781
    [Abstract] [Full Text] [Related]

  • 2. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning.
    Liu C, Wang X, Liu C, Sun Q, Peng W.
    Biomed Eng Online; 2020 Aug 19; 19(1):66. PubMed ID: 32814568
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  • 3. Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
    Singh M, Bansal S, Ahuja S, Dubey RK, Panigrahi BK, Dey N.
    Med Biol Eng Comput; 2021 Apr 19; 59(4):825-839. PubMed ID: 33738639
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  • 4. Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images.
    Mubarak AS, Serte S, Al-Turjman F, Ameen ZS, Ozsoz M.
    Expert Syst; 2022 Mar 19; 39(3):e12842. PubMed ID: 34898796
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  • 5. Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images.
    El-Kenawy EM, Ibrahim A, Mirjalili S, Eid MM, Hussein SE.
    IEEE Access; 2020 Mar 19; 8():179317-179335. PubMed ID: 34976558
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  • 6. COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images.
    Hasoon JN, Fadel AH, Hameed RS, Mostafa SA, Khalaf BA, Mohammed MA, Nedoma J.
    Results Phys; 2021 Dec 19; 31():105045. PubMed ID: 34840938
    [Abstract] [Full Text] [Related]

  • 7. A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.
    Chen B, Zhang L, Chen H, Liang K, Chen X.
    Comput Methods Programs Biomed; 2021 Mar 19; 200():105797. PubMed ID: 33317871
    [Abstract] [Full Text] [Related]

  • 8. Role of Optimal Features Selection with Machine Learning Algorithms for Chest X-ray Image Analysis.
    Manav M, Goyal M, Kumar A.
    J Med Phys; 2023 Mar 19; 48(2):195-203. PubMed ID: 37576090
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  • 10. A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods.
    Saygılı A.
    Appl Soft Comput; 2021 Jul 19; 105():107323. PubMed ID: 33746657
    [Abstract] [Full Text] [Related]

  • 11. Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia.
    Mahaboob Basha S, Lira Neto AV, Alshathri S, Elaziz MA, Hashmitha Mohisin S, De Albuquerque VHC.
    Comput Intell Neurosci; 2022 Jul 19; 2022():2728866. PubMed ID: 36039344
    [Abstract] [Full Text] [Related]

  • 12. Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques.
    Goyal S, Singh R.
    J Ambient Intell Humaniz Comput; 2023 Jul 19; 14(4):3239-3259. PubMed ID: 34567277
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  • 15. MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks.
    Attallah O, Ragab DA, Sharkas M.
    PeerJ; 2020 Jul 19; 8():e10086. PubMed ID: 33062453
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  • 16. COVID-19 Detection Mechanism in Vehicles Using a Deep Extreme Machine Learning Approach.
    Fatima A, Shahzad T, Abbas S, Rehman A, Saeed Y, Alharbi M, Khan MA, Ouahada K.
    Diagnostics (Basel); 2023 Jan 11; 13(2):. PubMed ID: 36673080
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  • 18. Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
    Sharifrazi D, Alizadehsani R, Roshanzamir M, Joloudari JH, Shoeibi A, Jafari M, Hussain S, Sani ZA, Hasanzadeh F, Khozeimeh F, Khosravi A, Nahavandi S, Panahiazar M, Zare A, Islam SMS, Acharya UR.
    Biomed Signal Process Control; 2021 Jul 11; 68():102622. PubMed ID: 33846685
    [Abstract] [Full Text] [Related]

  • 19. An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease.
    Hossen MJ, Ramanathan TT, Al Mamun A.
    Int J Telemed Appl; 2024 Jul 11; 2024():8188904. PubMed ID: 38660584
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