Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia
Author:
Affiliation:
1. Global Health Labs, Inc,Bellevue,WA
2. Formerly at Global Health Labs, Inc,Bellevue,WA
3. Oregon Health and Science University,Portland,OR
4. iMedReads,Lagos,Nigeria
5. University of Lagos,College of Medicine,Lagos,Nigeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208844.pdf?arnumber=10208844
Reference39 articles.
1. Comparative Diagnostic Performances of Auscultation, Chest Radiography, and Lung Ultrasonography in Acute Respiratory Distress Syndrome
2. Long Short-Term Memory
3. Sonographic Diagnosis and Follow-Up of Pneumonia: A Prospective Study
4. Pleural effusion in children: A review article and literature review;afsharpaiman;International Journal of Medical Reviews,2022
5. Ultrasound findings of lung ultrasonography in COVID-19: A systematic review
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1. Breathe out the Secret of the Lung: Video Classification of Exhaled Flows from Normal and Asthmatic Lung Models Using CNN-Long Short-Term Memory Networks;Journal of Respiration;2023-12-14
2. Transfer Learning and Feature Extraction of Chest X-ray Images for Deep Convolutional Neural Network (CNN)- based Pneumonia Detection;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06
3. Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
4. XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images;Multimedia Tools and Applications;2023-09-23
5. How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound;Simulation and Synthesis in Medical Imaging;2023
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