  In this paper, we study the significance of the pleura and adipose tissue in
lung ultrasound AI analysis. We highlight their more prominent appearance when
using high-frequency linear (HFL) instead of curvilinear ultrasound probes,
showing HFL reveals better pleura detail. We compare the diagnostic utility of
the pleura and adipose tissue using an HFL ultrasound probe. Masking the
adipose tissue during training and inference (while retaining the pleural line
and Merlin's space artifacts such as A-lines and B-lines) improved the AI
model's diagnostic accuracy.
