A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects

Chronic obstructive pulmonary disease (COPD) is a respiratory disorder involving abnormalities of lung parenchymal morphology with different severities. COPD is assessed by pulmonary-function tests and computed tomography-based approaches. We introduce a new classification method for COPD grouping b...

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Bibliographic Details
Published in:	Scientific reports Vol. 11; no. 1; pp. 34 - 12
Main Authors:	Ho, Thao Thi, Kim, Taewoo, Kim, Woo Jin, Lee, Chang Hyun, Chae, Kum Ju, Bak, So Hyeon, Kwon, Sung Ok, Jin, Gong Yong, Park, Eun-Kee, Choi, Sanghun
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 08.01.2021 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1564 631/114/2397 631/1647/245 639/166/985 Allergic diseases Chronic obstructive pulmonary disease Classification Computed tomography Deep learning Emphysema Humanities and Social Sciences Lung diseases Mapping multidisciplinary Neural networks Obstructive lung disease Respiratory tract diseases Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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