Feb. 29, 2024, 5:45 a.m. | Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.18383v1 Announce Type: new
Abstract: Robust quantification of pulmonary emphysema on computed tomography (CT) remains challenging for large-scale research studies that involve scans from different scanner types and for translation to clinical scans. Existing studies have explored several directions to tackle this challenge, including density correction, noise filtering, regression, hidden Markov measure field (HMMF) model-based segmentation, and volume-adjusted lung density. Despite some promising results, previous studies either required a tedious workflow or limited opportunities for downstream emphysema subtyping, limiting efficient …

abstract arxiv attention clinical cs.cv domain mesa quantification research robust scale scans studies study translation type types via

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