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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.
* LL-COVID19 2021. Lecture Notes in Computer Science, vol 12969.
Springer, Cham * Published in MICCAI 2021 workshop on Lessons Learned from the
development and application of medical imaging-based AI technologies for
combating COVID-19 (LL-COVID19). The first two authors contributed equally to
this work