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A novel quantitative method for CT assessment of bronchiectasis using AI-based airway segmentation and upper limits

Naoya Tanabe1, Atsuyasu Sato2, Tomoki Maetani2

  • 1Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan. ntana@kuhp.kyoto-u.ac.jp.

Respiratory Research
|March 17, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Airway dilationAirway remodelingBronchiectasisComputed tomographyImaging

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