Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. (arXiv:2211.02475v1 [eess.IV])

Lung segmentation in chest X-rays (CXRs) is an important prerequisite for
improving the specificity of diagnoses of cardiopulmonary diseases in a
clinical decision support system. Current deep learning (DL) models for lung
segmentation are trained and evaluated on CXR datasets in which the
radiographic projections are captured predominantly from the adult population.
However, the shape of the lungs is reported to be significantly different for
pediatrics across the developmental stages from infancy to adulthood. This
might result in age-related data …

arxiv population retrospective segmentation study