Quantitative Assessment of Lung Ultrasound Grayscale Images Based on Shannon Entropy for the Detection of Pulmonary Aeration: An Animal Study.

Jui FangYen-Nien TingYi-Wen Chen

Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2021)

The current findings indicate that ShanEn estimated through GSH analysis of LUS images acquired using conventional ultrasonic imaging systems has great potential to provide objective information on pulmonary aeration.

Keyphrases

pulmonary hypertension
deep learning
convolutional neural network
optical coherence tomography
magnetic resonance imaging
high resolution
healthcare
machine learning
computed tomography
health information
loop mediated isothermal amplification
human health
risk assessment
climate change