Automatic detection of A‐line in lung ultrasound images using deep learning and image processing

Author:

Xing Wenyu12,Li Guannan3,He Chao4,Huang Qiming5,Cui Xulei6,Li Qingli3,Li Wenfang4,Chen Jiangang37,Ta Dean18

Affiliation:

1. Center for Biomedical Engineering School of Information Science and Technology Fudan University Shanghai China

2. Human Phenome Institute Fudan University Shanghai China

3. Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai China

4. Department of Emergency and Critical Care Changzheng Hospital Naval Medical University Shanghai China

5. School of Advanced Computing and Artificial Intelligence Xi'an Jiaotong‐liverpool University Suzhou China

6. Department of Anesthesiology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China

7. Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of Education Shanghai China

8. Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

General Medicine

Cited by 5 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. An Interpretable Neonatal Lung Ultrasound Feature Extraction and Lung Sliding Detection System Using Object Detectors;IEEE Journal of Translational Engineering in Health and Medicine;2024

2. IMT-LUSS: A Novel Inception Meets Transformer-based Lung Ultrasound Scoring Model in Pneumonia;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. Ultrasound imaging of lung disease and its relationship to histopathology: An experimentally validated simulation approach;The Journal of the Acoustical Society of America;2023-10-01

4. Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model;2023 IEEE International Ultrasonics Symposium (IUS);2023-09-03

5. Weakly Semi-supervised Detection in Lung Ultrasound Videos;Lecture Notes in Computer Science;2023

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