Image quality assessment for closed-loop computer-assisted lung ultrasound
Image quality assessment for closed-loop computer-assisted lung ultrasound
We describe a novel, two-stage computer assistance system for lung anomaly detection using ultrasound imaging in the intensive care setting to improve operator performance and patient stratification during coronavirus pandemics. The proposed system consists of two deep-learning-based models: a quality assessment module that automates predictions of image quality, and a …