BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 34248447)

  • 21. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
    Ibrahim DM; Elshennawy NM; Sarhan AM
    Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model.
    Shankar K; Mohanty SN; Yadav K; Gopalakrishnan T; Elmisery AM
    Cogn Neurodyn; 2023 Jun; 17(3):1-14. PubMed ID: 34522236
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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; 68():102622. PubMed ID: 33846685
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images.
    Naeem H; Bin-Salem AA
    Appl Soft Comput; 2021 Dec; 113():107918. PubMed ID: 34608379
    [TBL] [Abstract][Full Text] [Related]  

  • 25. CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection.
    Oyelade ON; Ezugwu AE; Chiroma H
    IEEE Access; 2021; 9():77905-77919. PubMed ID: 36789158
    [TBL] [Abstract][Full Text] [Related]  

  • 26. VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm.
    Karacı A
    Neural Comput Appl; 2022; 34(10):8253-8274. PubMed ID: 35095212
    [TBL] [Abstract][Full Text] [Related]  

  • 27. DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach.
    Demir F; Demir K; Şengür A
    New Gener Comput; 2022; 40(4):1053-1075. PubMed ID: 35035024
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep learning approaches for COVID-19 detection based on chest X-ray images.
    Ismael AM; Şengür A
    Expert Syst Appl; 2021 Feb; 164():114054. PubMed ID: 33013005
    [TBL] [Abstract][Full Text] [Related]  

  • 29. "Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images".
    Al-Antari MA; Hua CH; Bang J; Lee S
    Appl Intell (Dordr); 2021; 51(5):2890-2907. PubMed ID: 34764573
    [TBL] [Abstract][Full Text] [Related]  

  • 30. AMSFMap Methodology to improve prediction accuracy of CNN model for Covid19 using X-ray images.
    Chauhan H; Modi K
    Procedia Comput Sci; 2023; 218():1394-1404. PubMed ID: 36743789
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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; 105():107323. PubMed ID: 33746657
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A deep learning approach to detect Covid-19 coronavirus with X-Ray images.
    Jain G; Mittal D; Thakur D; Mittal MK
    Biocybern Biomed Eng; 2020; 40(4):1391-1405. PubMed ID: 32921862
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images.
    Aslan N; Ozmen Koca G; Kobat MA; Dogan S
    Chemometr Intell Lab Syst; 2022 May; 224():104539. PubMed ID: 35368832
    [TBL] [Abstract][Full Text] [Related]  

  • 35. CoviDetNet: A new COVID-19 diagnostic system based on deep features of chest x-ray.
    Aslan M
    Int J Imaging Syst Technol; 2022 Sep; 32(5):1447-1463. PubMed ID: 35935665
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images.
    Akyol K; Şen B
    Interdiscip Sci; 2022 Mar; 14(1):89-100. PubMed ID: 34313974
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automatic prediction of COVID- 19 from chest images using modified ResNet50.
    Elpeltagy M; Sallam H
    Multimed Tools Appl; 2021; 80(17):26451-26463. PubMed ID: 33967592
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.
    Kumar S; Chaube MK; Alsamhi SH; Gupta SK; Guizani M; Gravina R; Fortino G
    Comput Methods Programs Biomed; 2022 Nov; 226():107109. PubMed ID: 36174422
    [TBL] [Abstract][Full Text] [Related]  

  • 39. AutoCovNet: Unsupervised feature learning using autoencoder and feature merging for detection of COVID-19 from chest X-ray images.
    Rashid N; Hossain MAF; Ali M; Islam Sukanya M; Mahmud T; Fattah SA
    Biocybern Biomed Eng; 2021; 41(4):1685-1701. PubMed ID: 34690398
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images.
    Shankar K; Perumal E; Tiwari P; Shorfuzzaman M; Gupta D
    Multimed Syst; 2022; 28(4):1175-1187. PubMed ID: 34075280
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.