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Whole-Lung CT Radiomics-Based Machine Learning Classification of Nontuberculous Mycobacterial Lung Disease Across Geographically Distinct Cohorts

2026-07-09

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> Nontuberculous mycobacterial lung disease (NTM-LD) is highly heterogenous, geographically and etiologically, hindering effective timely identification. Prior CT radiomics studies require manual segmentation of pathology. We developed a whole-lung CT radiomics-based machine learning approach and identified common features across two geographically distinct NTM-LD cohorts. <h4...

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Literature Corpus work
0e35f93a-2d6e-55b3-bfb2-edf5c8d4d499
DOI
10.64898/2026.06.29.26356713
Open publication

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