BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 35821878)

  • 1. Detection of COVID-19 using deep learning techniques and classification methods.
    Oğuz Ç; Yağanoğlu M
    Inf Process Manag; 2022 Sep; 59(5):103025. PubMed ID: 35821878
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quantitative and Qualitative Analysis of 18 Deep Convolutional Neural Network (CNN) Models with Transfer Learning to Diagnose COVID-19 on Chest X-Ray (CXR) Images.
    Chow LS; Tang GS; Solihin MI; Gowdh NM; Ramli N; Rahmat K
    SN Comput Sci; 2023; 4(2):141. PubMed ID: 36624807
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
    Ardakani AA; Kanafi AR; Acharya UR; Khadem N; Mohammadi A
    Comput Biol Med; 2020 Jun; 121():103795. PubMed ID: 32568676
    [TBL] [Abstract][Full Text] [Related]  

  • 4. COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization.
    Aslan MF; Sabanci K; Durdu A; Unlersen MF
    Comput Biol Med; 2022 Mar; 142():105244. PubMed ID: 35077936
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Analysis of Image Features Extracted by CNNs to Design Classification Models for COVID-19 and Non-COVID-19.
    Teodoro AAM; Silva DH; Saadi M; Okey OD; Rosa RL; Otaibi SA; Rodríguez DZ
    J Signal Process Syst; 2023; 95(2-3):101-113. PubMed ID: 34777680
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter.
    Abdelminaam DS; Ismail FH; Taha M; Taha A; Houssein EH; Nabil A
    IEEE Access; 2021; 9():27840-27867. PubMed ID: 34786308
    [TBL] [Abstract][Full Text] [Related]  

  • 7. COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
    Poola RG; Pl L; Y SS
    Results Eng; 2023 Jun; 18():101020. PubMed ID: 36945336
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning-based COVID-19 diagnosis by demographic characteristics and clinical data.
    Gorji F; Shafiekhani S; Namdar P; Abdollahzade S; Rafiei S
    Adv Respir Med; 2022 Feb; ():. PubMed ID: 35102543
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images.
    Sunnetci KM; Alkan A
    Expert Syst Appl; 2023 Apr; 216():119430. PubMed ID: 36570382
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tongue image quality assessment based on a deep convolutional neural network.
    Jiang T; Hu XJ; Yao XH; Tu LP; Huang JB; Ma XX; Cui J; Wu QF; Xu JT
    BMC Med Inform Decis Mak; 2021 May; 21(1):147. PubMed ID: 33952228
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images.
    Abubakar H; Al-Turjman F; Ameen ZS; Mubarak AS; Altrjman C
    Heliyon; 2024 Mar; 10(5):e26939. PubMed ID: 38463848
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
    Jiang X; Xu C
    J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 39(3):e12842. PubMed ID: 34898796
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
    Lee H; Hong H; Kim J; Jung DC
    Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays.
    Abdullah M; Abrha FB; Kedir B; Tamirat Tagesse T
    Heliyon; 2024 Mar; 10(5):e26938. PubMed ID: 38468922
    [TBL] [Abstract][Full Text] [Related]  

  • 16. COVID-19 diagnosis on CT images with Bayes optimization-based deep neural networks and machine learning algorithms.
    Canayaz M; Şehribanoğlu S; Özdağ R; Demir M
    Neural Comput Appl; 2022; 34(7):5349-5365. PubMed ID: 35250180
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.
    Nayak SR; Nayak DR; Sinha U; Arora V; Pachori RB
    Biomed Signal Process Control; 2021 Feb; 64():102365. PubMed ID: 33230398
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers.
    Kumar SA; Sasikala S
    Curr Med Imaging; 2023 Mar; ():. PubMed ID: 37018527
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On the performance evaluation of object classification models in low altitude aerial data.
    Mittal P; Sharma A; Singh R; Sangaiah AK
    J Supercomput; 2022; 78(12):14548-14570. PubMed ID: 35399758
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.