The Role of Pleura and Adipose in Lung Ultrasound AI
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 20 references that are in the map. First posted on arXiv 19 Jan 2022.
Builds on
6 of 20 references.
References · 6
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,690
- 2018TSM: Temporal Shift Module for Efficient Video Understandingcited by 852
- 2020POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)cited by 25
- 2020Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysiscited by 5
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.