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Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography

arXiv 2402.11510 ↗First posted 18 Feb 2024eess.IV cs.CVcited by 0

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Abstract (arXiv)

Lung mask creation lacks well-defined criteria and standardized guidelines, leading to a high degree of subjectivity between annotators. In this study, we assess the underestimation of lung regions on chest X-ray segmentation masks created according to the current state-of-the-art method, by comparison with total lung volume evaluated on computed tomography (CT). We show, that lung X-ray masks created by following the contours of the heart, mediastinum, and diaphragm significantly underestimate lung regions and exclude substantial portions of the lungs from further assessment, which may result in numerous clinical errors.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 32 references that are in the map. First posted on arXiv 18 Feb 2024.

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References · 2

  1. 2020Lung Segmentation from Chest X-rays using Variational Data Imputationcited by 15
  2. 2020Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networkscited by 7

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