Multi-stage investigation of deep neural networks for COVID-19 B-line feature detection in simulated and in vivo ultrasound images-Reference-Cited by-同舟云学术

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Multi-stage investigation of deep neural networks for COVID-19 B-line feature detection in simulated and in vivo ultrasound images

Published:2022-04-04 Issue: Volume: Page:
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Container-title:Medical Imaging 2022: Computer-Aided Diagnosis
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Author:

Frey Ben,Zhao Lingyi,Fong Tiffany C.,Lediju Bell Muyinatu A.

Publisher

SPIE

Reference24 articles.

1. Detection of SARS-CoV-2 in Different Types of Clinical Specimens;Wang;JAMA,2020

2. Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review;Ng;Radiology: Cardiothoracic Imaging,2020

3. Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

4. Lung ultrasound in the diagnosis of COVID-19 infection - A case series and review of the literature

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of COVID-19 features in lung ultrasound images using deep neural networks;Communications Medicine;2024-03-11

2. Artificial Intelligence Neural Network Consistently Interprets Lung Ultrasound Artifacts in Hospitalized Patients: A Prospective Observational Study;2023-03-05

3. COVID-19 feature detection with deep neural networks trained on simulated lung ultrasound B-mode images;2022 IEEE International Ultrasonics Symposium (IUS);2022-10-10

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