BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 36788792)

  • 1. ABOA-CNN: auction-based optimization algorithm with convolutional neural network for pulmonary disease prediction.
    Annamalai B; Saravanan P; Varadharajan I
    Neural Comput Appl; 2023; 35(10):7463-7474. PubMed ID: 36788792
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques.
    Rajasenbagam T; Jeyanthi S; Pandian JA
    J Ambient Intell Humaniz Comput; 2021 Mar; ():1-8. PubMed ID: 33777251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm.
    Farhan AMQ; Yang S
    Multimed Tools Appl; 2023 Mar; ():1-27. PubMed ID: 37362647
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
    Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
    Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images.
    Sharma S; Gupta S; Gupta D; Rashid J; Juneja S; Kim J; Elarabawy MM
    Front Oncol; 2022; 12():932496. PubMed ID: 35847931
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
    Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
    Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
    Visuña L; Yang D; Garcia-Blas J; Carretero J
    BMC Med Imaging; 2022 Oct; 22(1):178. PubMed ID: 36243705
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
    Albahli S; Ahmad Hassan Yar GN
    J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network.
    Nahiduzzaman M; Islam MR; Hassan R
    Expert Syst Appl; 2023 Jan; 211():118576. PubMed ID: 36062267
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.
    Morid MA; Sheng ORL; Kawamoto K; Abdelrahman S
    J Biomed Inform; 2020 Nov; 111():103565. PubMed ID: 32980530
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.
    Rehman MU; Shafique A; Khan KH; Khalid S; Alotaibi AA; Althobaiti T; Ramzan N; Ahmad J; Shah SA; Abbasi QH
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062422
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
    Huang W; Xue Y; Wu Y
    PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images.
    Rajpal S; Lakhyani N; Singh AK; Kohli R; Kumar N
    Chaos Solitons Fractals; 2021 Apr; 145():110749. PubMed ID: 33589854
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images.
    Ben Atitallah S; Driss M; Boulila W; Ben Ghézala H
    Int J Imaging Syst Technol; 2022 Jan; 32(1):55-73. PubMed ID: 34898852
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.