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Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography
Author(s) -
David C. Adams,
Hamid Pahlevaninezhad,
Margit V. Szabari,
Christina Schofield,
Daniel L. Hamilos,
Mehmet Kesımer,
Richard C. Boucher,
Andrew D. Luster,
Benjamin D. Medoff,
Melissa J. Suter
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/2f3v-hs32
Subject(s) - optical coherence tomography , airway , mucus , segmentation , tomography , computer science , artificial intelligence , computer vision , medicine , radiology , geology , surgery , paleontology

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