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Quantitative feature analysis of CT images of transbronchial dye markings mimicking true pulmonary ground-glass opacity lesions
Author(s) -
Bowei Chen,
Li-Wei Chen,
ShunMao Yang,
ChingKai Lin,
HuanJang Ko,
ChungMing Chen
Publication year - 2019
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2018.11.65
Subject(s) - ground glass opacity , tomography , feature (linguistics) , medicine , nuclear medicine , computed tomography , homogeneity (statistics) , artificial intelligence , radiology , pattern recognition (psychology) , mathematics , computer science , statistics , linguistics , adenocarcinoma , philosophy , cancer
Quantitative analysis of the dye marking images revealed a discriminative variance, compared with those of the true GGN lesions. Furthermore, the image textures of dye markings on MDCT and CBCT also presented with obvious discrepancies.

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