Deep Learning-Based Lung Ultrasound image segmentation for real-time analysis

Lung ultrasound is a non-invasive imaging technique, which is increasingly used in many clinical areas for the evaluation of lung conditions. Despite its potential benefits, the interpretation of ultrasound images is often challenging and highly dependent on the operator's experience. To address this limitation, we propose the development of an artificial intelligence (AI) system to assist in the analysis and interpretation of ultrasound images, by providing automated segmentation of the pleura and consolidations.