An Interpretable Object Detection-Based Model For The Diagnosis Of Neonatal Lung Diseases Using Ultrasound Images
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9629355/9629471/09630169.pdf?arnumber=9630169
Cited by 7 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. DocBot: A System for Disease Detection and Specialized Doctor Recommendation Using Patient’s Speech of Symptoms;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023-12-20
3. Classification of lung pathologies in neonates using dual-tree complex wavelet transform;BioMedical Engineering OnLine;2023-12-04
4. State-of-the-Art in Lung Ultrasound Processing - Brief Review;2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI);2023-01-19
5. Pathology Detector System in the Bronchopulmonary System of Asthmatic patients visualized through a radiofrequency of the chest;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05
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