Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography-Reference-Cited by-同舟云学术

Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography

Published:2018-01-15 Issue:2 Volume:197 Page:193-203
ISSN:1073-449X
Container-title:American Journal of Respiratory and Critical Care Medicine
language:en
Short-container-title:Am J Respir Crit Care Med

Author:

González Germán¹²^ORCID,Ash Samuel Y.³^ORCID,Vegas-Sánchez-Ferrero Gonzalo²^ORCID,Onieva Onieva Jorge²,Rahaghi Farbod N.³,Ross James C.²,Díaz Alejandro²,San José Estépar Raúl²^ORCID,Washko George R.³

Affiliation:

1. Sierra Research, Alicante, Spain

2. Applied Chest Imaging Laboratory, Department of Radiology, and

3. Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston Massachusetts

Publisher

American Thoracic Society

Subject

Critical Care and Intensive Care Medicine,Pulmonary and Respiratory Medicine

Link

http://www.atsjournals.org/doi/pdf/10.1164/rccm.201705-0860OC

Reference50 articles.

1. DIAGNOSIS OF PULMONARY EMPHYSEMA BY COMPUTERISED TOMOGRAPHY

2. “Density Mask”

3. Computed Tomographic Measurements of Airway Dimensions and Emphysema in Smokers

4. Computed Tomographic Measures of Pulmonary Vascular Morphology in Smokers and Their Clinical Implications

5. Quantitative Computed Tomography Measures of Pectoralis Muscle Area and Disease Severity in Chronic Obstructive Pulmonary Disease. A Cross-Sectional Study

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