BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

433 related articles for article (PubMed ID: 33828610)

  • 21. COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system.
    Hwang EJ; Kim KB; Kim JY; Lim JK; Nam JG; Choi H; Kim H; Yoon SH; Goo JM; Park CM
    PLoS One; 2021; 16(6):e0252440. PubMed ID: 34097708
    [TBL] [Abstract][Full Text] [Related]  

  • 22. An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images.
    Nayak SR; Nayak DR; Sinha U; Arora V; Pachori RB
    Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611423
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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; 8():e10086. PubMed ID: 33062453
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation.
    Gulakala R; Markert B; Stoffel M
    Comput Methods Programs Biomed; 2023 Feb; 229():107262. PubMed ID: 36463675
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of COVID-19 Using Genetic Deep Learning Convolutional Neural Network (GDCNN).
    Babukarthik RG; Adiga VAK; Sambasivam G; Chandramohan D; Amudhavel J
    IEEE Access; 2020; 8():177647-177666. PubMed ID: 34786292
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Survey on Deep Learning in COVID-19 Diagnosis.
    Han X; Hu Z; Wang S; Zhang Y
    J Imaging; 2022 Dec; 9(1):. PubMed ID: 36662099
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model.
    Ali S; Hussain A; Bhattacharjee S; Athar A; Abdullah ; Kim HC
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560352
    [TBL] [Abstract][Full Text] [Related]  

  • 29. COVID-19: a new deep learning computer-aided model for classification.
    Elzeki OM; Shams M; Sarhan S; Abd Elfattah M; Hassanien AE
    PeerJ Comput Sci; 2021; 7():e358. PubMed ID: 33817008
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
    Tahir AM; Qiblawey Y; Khandakar A; Rahman T; Khurshid U; Musharavati F; Islam MT; Kiranyaz S; Al-Maadeed S; Chowdhury MEH
    Cognit Comput; 2022; 14(5):1752-1772. PubMed ID: 35035591
    [TBL] [Abstract][Full Text] [Related]  

  • 32. COVID-19 chest X-ray detection through blending ensemble of CNN snapshots.
    Banerjee A; Sarkar A; Roy S; Singh PK; Sarkar R
    Biomed Signal Process Control; 2022 Sep; 78():104000. PubMed ID: 35855489
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning - Success story or dataset bias?
    Dhont J; Wolfs C; Verhaegen F
    Med Phys; 2022 Feb; 49(2):978-987. PubMed ID: 34951033
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Truncated inception net: COVID-19 outbreak screening using chest X-rays.
    Das D; Santosh KC; Pal U
    Phys Eng Sci Med; 2020 Sep; 43(3):915-925. PubMed ID: 32588200
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening.
    Zulkifley MA; Abdani SR; Zulkifley NH; Shahrimin MI
    Diagnostics (Basel); 2021 Aug; 11(8):. PubMed ID: 34441431
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
    Kim TK; Yi PH; Wei J; Shin JW; Hager G; Hui FK; Sair HI; Lin CT
    J Digit Imaging; 2019 Dec; 32(6):925-930. PubMed ID: 30972585
    [TBL] [Abstract][Full Text] [Related]  

  • 37. AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems.
    Kim K; Lee JH; Je Oh S; Chung MJ
    Comput Methods Programs Biomed; 2023 Oct; 240():107643. PubMed ID: 37348439
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Pneumonia detection in chest X-ray images using an ensemble of deep learning models.
    Kundu R; Das R; Geem ZW; Han GT; Sarkar R
    PLoS One; 2021; 16(9):e0256630. PubMed ID: 34492046
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. A two-tier feature selection method using Coalition game and Nystrom sampling for screening COVID-19 from chest X-Ray images.
    Bhowal P; Sen S; Sarkar R
    J Ambient Intell Humaniz Comput; 2023; 14(4):3659-3674. PubMed ID: 34567278
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.