These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 36186666)

  • 1. Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds.
    Alqudah AM; Qazan S; Obeidat YM
    Soft comput; 2022; 26(24):13405-13429. PubMed ID: 36186666
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods.
    Buyuk C; Arican Alpay B; Er F
    Dentomaxillofac Radiol; 2023 Feb; 52(3):20220209. PubMed ID: 36688738
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.
    Kim Y; Hyon Y; Jung SS; Lee S; Yoo G; Chung C; Ha T
    Sci Rep; 2021 Aug; 11(1):17186. PubMed ID: 34433880
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function.
    Petmezas G; Cheimariotis GA; Stefanopoulos L; Rocha B; Paiva RP; Katsaggelos AK; Maglaveras N
    Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161977
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lung sounds classification using convolutional neural networks.
    Bardou D; Zhang K; Ahmad SM
    Artif Intell Med; 2018 Jun; 88():58-69. PubMed ID: 29724435
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Low-Cost AI-Empowered Stethoscope and a Lightweight Model for Detecting Cardiac and Respiratory Diseases from Lung and Heart Auscultation Sounds.
    Zhang M; Li M; Guo L; Liu J
    Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904794
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning-based lung sound analysis for intelligent stethoscope.
    Huang DM; Huang J; Qiao K; Zhong NS; Lu HZ; Wang WJ
    Mil Med Res; 2023 Sep; 10(1):44. PubMed ID: 37749643
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.
    Pham L; Phan H; Palaniappan R; Mertins A; McLoughlin I
    IEEE J Biomed Health Inform; 2021 Aug; 25(8):2938-2947. PubMed ID: 33684048
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Acoustic-Based Deep Learning Architectures for Lung Disease Diagnosis: A Comprehensive Overview.
    Sfayyih AH; Sabry AH; Jameel SM; Sulaiman N; Raafat SM; Humaidi AJ; Kubaiaisi YMA
    Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238233
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram.
    Shuvo SB; Ali SN; Swapnil SI; Hasan T; Bhuiyan MIH
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2595-2603. PubMed ID: 33373309
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Investigation of Deep Learning Models for EEG-Based Emotion Recognition.
    Zhang Y; Chen J; Tan JH; Chen Y; Chen Y; Li D; Yang L; Su J; Huang X; Che W
    Front Neurosci; 2020; 14():622759. PubMed ID: 33424547
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature-Based Fusion Using CNN for Lung and Heart Sound Classification.
    Tariq Z; Shah SK; Lee Y
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214424
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.
    Glangetas A; Hartley MA; Cantais A; Courvoisier DS; Rivollet D; Shama DM; Perez A; Spechbach H; Trombert V; Bourquin S; Jaggi M; Barazzone-Argiroffo C; Gervaix A; Siebert JN
    BMC Pulm Med; 2021 Mar; 21(1):103. PubMed ID: 33761909
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A deep learning approach for detecting drill bit failures from a small sound dataset.
    Tran T; Pham NT; Lundgren J
    Sci Rep; 2022 Jun; 12(1):9623. PubMed ID: 35688892
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice.
    Lella KK; Pja A
    AIMS Public Health; 2021; 8(2):240-264. PubMed ID: 34017889
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound.
    Hamdi S; Oussalah M; Moussaoui A; Saidi M
    J Intell Inf Syst; 2022; 59(2):367-389. PubMed ID: 35498369
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Auscultation-Based Pulmonary Disease Detection through Parallel Transformation and Deep Learning.
    Khan R; Khan SU; Saeed U; Koo IS
    Bioengineering (Basel); 2024 Jun; 11(6):. PubMed ID: 38927822
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated detection and recognition system for chewable food items using advanced deep learning models.
    Kumar Y; Koul A; Kamini ; Woźniak M; Shafi J; Ijaz MF
    Sci Rep; 2024 Mar; 14(1):6589. PubMed ID: 38504098
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for predicting respiratory rate from biosignals.
    Kumar AK; Ritam M; Han L; Guo S; Chandra R
    Comput Biol Med; 2022 May; 144():105338. PubMed ID: 35248805
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.