Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network

Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network

Abstract Background The assessment of diaphragm function is crucial for effective clinical management and the prevention of complications associated with diaphragmatic dysfunction. However, current measurement methodologies rely on manual techniques that are susceptible to human error: How does the...

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Main Authors: Zhifei Li, Lin Mao, Fan Jia, Shaohui Zhang, Cuiping Han, Shuiqiao Fu, Yueying Zheng, Yonghua Chu, Zuobing Chen, Daming Wang, Huilong Duan, Yinfei Zheng
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Respiratory Research
Subjects:
Diaphragm thickness
Ultrasound image segmentation
Ultrasound video segmentation
Diaphragm excursion
Automatic measurement system
Online Access:https://doi.org/10.1186/s12931-025-03325-3
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https://doi.org/10.1186/s12931-025-03325-3

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