BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

423 related articles for article (PubMed ID: 36185320)

  • 1. A COVID-19 X-ray image classification model based on an enhanced convolutional neural network and hill climbing algorithms.
    Pradhan AK; Mishra D; Das K; Obaidat MS; Kumar M
    Multimed Tools Appl; 2023; 82(9):14219-14237. PubMed ID: 36185320
    [TBL] [Abstract][Full Text] [Related]  

  • 2. NSCGCN: A novel deep GCN model to diagnosis COVID-19.
    Tang C; Hu C; Sun J; Wang SH; Zhang YD
    Comput Biol Med; 2022 Nov; 150():106151. PubMed ID: 36244303
    [TBL] [Abstract][Full Text] [Related]  

  • 3. IRCM-Caps: An X-ray image detection method for COVID-19.
    Qiu S; Ma J; Ma Z
    Clin Respir J; 2023 May; 17(5):364-373. PubMed ID: 36922395
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.
    Das A
    Multimed Tools Appl; 2022; 81(4):5407-5441. PubMed ID: 34955679
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.
    Naseer A; Tamoor M; Azhar A
    J Xray Sci Technol; 2022; 30(1):89-109. PubMed ID: 34842222
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
    Malik H; Anees T; Din M; Naeem A
    Multimed Tools Appl; 2023; 82(9):13855-13880. PubMed ID: 36157356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
    Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
    Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
    V J S; D JF
    Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
    Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.
    Jia G; Lam HK; Xu Y
    Comput Biol Med; 2021 Jul; 134():104425. PubMed ID: 33971427
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity.
    Abdulsalam Hamwi W; Almustafa MM
    Inform Med Unlocked; 2022; 32():101004. PubMed ID: 35822170
    [TBL] [Abstract][Full Text] [Related]  

  • 13. COVID-19 Detection using Hybrid CNN-RNN Architecture with Transfer Learning from X-Rays.
    Deshwal D; Sangwan P; Dahiya N; Lilhore UK; Dalal S; Simaiya S
    Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37594157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.
    Dey S; Bhattacharya R; Malakar S; Mirjalili S; Sarkar R
    Comput Biol Med; 2021 Aug; 135():104585. PubMed ID: 34229144
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates.
    Bhosale YH; Patnaik KS
    Biomed Signal Process Control; 2023 Mar; 81():104445. PubMed ID: 36466567
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hybrid deep learning for detecting lung diseases from X-ray images.
    Bharati S; Podder P; Mondal MRH
    Inform Med Unlocked; 2020; 20():100391. PubMed ID: 32835077
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification.
    El-Kenawy EM; Mirjalili S; Ibrahim A; Alrahmawy M; El-Said M; Zaki RM; Eid MM
    IEEE Access; 2021; 9():36019-36037. PubMed ID: 34812381
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A residual network-based framework for COVID-19 detection from CXR images.
    Kibriya H; Amin R
    Neural Comput Appl; 2023; 35(11):8505-8516. PubMed ID: 36536673
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
    Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.