BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

327 related articles for article (PubMed ID: 32836918)

  • 21. An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images.
    M Bahgat W; Magdy Balaha H; AbdulAzeem Y; Badawy MM
    PeerJ Comput Sci; 2021; 7():e555. PubMed ID: 34141886
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. A Hybrid Method of Covid-19 Patient Detection from Modified CT-Scan/Chest-X-Ray Images Combining Deep Convolutional Neural Network And Two- Dimensional Empirical Mode Decomposition.
    Hasan N
    Comput Methods Programs Biomed Update; 2021; 1():100022. PubMed ID: 34337590
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture.
    Chetoui M; Akhloufi MA; Bouattane EM; Abdulnour J; Roux S; Bernard CD
    Viruses; 2023 Jun; 15(6):. PubMed ID: 37376626
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection.
    Ismael AM; Şengür A
    Health Inf Sci Syst; 2020 Dec; 8(1):29. PubMed ID: 33014355
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automated image classification of chest X-rays of COVID-19 using deep transfer learning.
    Dilshad S; Singh N; Atif M; Hanif A; Yaqub N; Farooq WA; Ahmad H; Chu YM; Masood MT
    Results Phys; 2021 Sep; 28():104529. PubMed ID: 34395185
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
    Ahamed KU; Islam M; Uddin A; Akhter A; Paul BK; Yousuf MA; Uddin S; Quinn JMW; Moni MA
    Comput Biol Med; 2021 Dec; 139():105014. PubMed ID: 34781234
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.
    Umair M; Khan MS; Ahmed F; Baothman F; Alqahtani F; Alian M; Ahmad J
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502702
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost.
    Nasiri H; Hasani S
    Radiography (Lond); 2022 Aug; 28(3):732-738. PubMed ID: 35410707
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images.
    Ouchicha C; Ammor O; Meknassi M
    Chaos Solitons Fractals; 2020 Nov; 140():110245. PubMed ID: 32921934
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray.
    Koh SJT; Nafea M; Nugroho H
    Adv Comput Intell; 2022; 2(5):33. PubMed ID: 36187081
    [TBL] [Abstract][Full Text] [Related]  

  • 33. COVID-19 detection based on self-supervised transfer learning using chest X-ray images.
    Li G; Togo R; Ogawa T; Haseyama M
    Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):715-722. PubMed ID: 36538184
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model.
    Vinod DN; Jeyavadhanam BR; Zungeru AM; Prabaharan SRS
    Comput Biol Med; 2021 Sep; 136():104729. PubMed ID: 34365278
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection.
    Chakraborty M; Dhavale SV; Ingole J
    Appl Intell (Dordr); 2021; 51(5):3026-3043. PubMed ID: 34764582
    [TBL] [Abstract][Full Text] [Related]  

  • 36. COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare.
    Shome D; Kar T; Mohanty SN; Tiwari P; Muhammad K; AlTameem A; Zhang Y; Saudagar AKJ
    Int J Environ Res Public Health; 2021 Oct; 18(21):. PubMed ID: 34769600
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI.
    Bhandari M; Shahi TB; Siku B; Neupane A
    Comput Biol Med; 2022 Nov; 150():106156. PubMed ID: 36228463
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Fine-Tuning Convolutional Neural Networks for COVID-19 Detection from Chest X-ray Images.
    Zhao W; Jiang W; Qiu X
    Diagnostics (Basel); 2021 Oct; 11(10):. PubMed ID: 34679585
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting pattern of coronavirus using X-ray and CT scan images.
    Khurana Batra P; Aggarwal P; Wadhwa D; Gulati M
    Netw Model Anal Health Inform Bioinform; 2022; 11(1):39. PubMed ID: 36212780
    [TBL] [Abstract][Full Text] [Related]  

  • 40. CNGOD-An improved convolution neural network with grasshopper optimization for detection of COVID-19.
    Singh A; Singh KK; Greguš M; Izonin I
    Math Biosci Eng; 2022 Aug; 19(12):12518-12531. PubMed ID: 36654009
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.