BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

103 related articles for article (PubMed ID: 34719476)

  • 21. An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.
    Xu F; Lou K; Chen C; Chen Q; Wang D; Wu J; Zhu W; Tan W; Zhou Y; Liu Y; Wang B; Zhang X; Zhang Z; Zhang J; Sun M; Zhang G; Dai G; Hu H
    Med Phys; 2022 Jun; 49(6):3874-3885. PubMed ID: 35305027
    [TBL] [Abstract][Full Text] [Related]  

  • 22. DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning.
    Hadj Bouzid AI; Yahiaoui S; Lounis A; Berrani SA; Belbachir H; Naïli Q; Abdi MEH; Bensalah K; Belazzougui D
    Stud Health Technol Inform; 2021 May; 281():332-336. PubMed ID: 34042760
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.
    Khurana S; Chopra R; Khurana B
    Emerg Radiol; 2021 Jun; 28(3):477-483. PubMed ID: 33459907
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
    Ouyang X; Huo J; Xia L; Shan F; Liu J; Mo Z; Yan F; Ding Z; Yang Q; Song B; Shi F; Yuan H; Wei Y; Cao X; Gao Y; Wu D; Wang Q; Shen D
    IEEE Trans Med Imaging; 2020 Aug; 39(8):2595-2605. PubMed ID: 32730212
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. FBSED based automatic diagnosis of COVID-19 using X-ray and CT images.
    Chaudhary PK; Pachori RB
    Comput Biol Med; 2021 Jul; 134():104454. PubMed ID: 33965836
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Detection of COVID-19 from Chest CT Images Using CNN with MLP Hybrid Model.
    Rajasekar SJS; Narayanan V; Perumal V
    Stud Health Technol Inform; 2021 Oct; 285():288-291. PubMed ID: 34734889
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography.
    Aydın N; Çelik Ö
    Tuberk Toraks; 2021 Dec; 69(4):486-491. PubMed ID: 34957742
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients.
    Pathak Y; Shukla PK; Arya KV
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1234-1241. PubMed ID: 32750891
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19.
    Huang ML; Liao YC
    Acad Radiol; 2023 Sep; 30(9):1915-1935. PubMed ID: 36526533
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography.
    Lin KH; Lu NH; Okamoto T; Huang YH; Liu KY; Matsushima A; Chang CC; Chen TB
    Healthcare (Basel); 2023 May; 11(10):. PubMed ID: 37239653
    [TBL] [Abstract][Full Text] [Related]  

  • 33. COVIDX-LwNet: A Lightweight Network Ensemble Model for the Detection of COVID-19 Based on Chest X-ray Images.
    Wang W; Liu S; Xu H; Deng L
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366277
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning.
    AlMohimeed A; Saleh H; El-Rashidy N; Saad RMA; El-Sappagh S; Mostafa S
    Diagnostics (Basel); 2023 Jun; 13(11):. PubMed ID: 37296820
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Texture Analysis in the Evaluation of COVID-19 Pneumonia in Chest X-Ray Images: A Proof of Concept Study.
    Cavallo AU; Troisi J; Forcina M; Mari PV; Forte V; Sperandio M; Pagano S; Cavallo P; Floris R; Garaci F
    Curr Med Imaging; 2021; 17(9):1094-1102. PubMed ID: 33438548
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images.
    Kc K; Yin Z; Wu M; Wu Z
    Signal Image Video Process; 2021; 15(5):959-966. PubMed ID: 33432267
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.
    Wang W; Li Y; Li J; Zhang P; Wang X
    Comput Intell Neurosci; 2021; 2021():3604900. PubMed ID: 34239548
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
    Oh Y; Park S; Ye JC
    IEEE Trans Med Imaging; 2020 Aug; 39(8):2688-2700. PubMed ID: 32396075
    [TBL] [Abstract][Full Text] [Related]  

  • 40. PCA-Based Incremental Extreme Learning Machine (PCA-IELM) for COVID-19 Patient Diagnosis Using Chest X-Ray Images.
    Kumar V; Biswas S; Rajput DS; Patel H; Tiwari B
    Comput Intell Neurosci; 2022; 2022():9107430. PubMed ID: 35800685
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.