Unraveling the interplay of image formation, data representation and learning in CT‐based COPD phenotyping automation: The need for a meta‐strategy-Reference-Cited by-同舟云学术

Unraveling the interplay of image formation, data representation and learning in CT‐based COPD phenotyping automation: The need for a meta‐strategy

Published:2021-07-20 Issue:9 Volume:48 Page:5179-5191
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Mühlberg Alexander¹,Kärgel Rainer¹,Katzmann Alexander¹,Durlak Felix¹,Allard Paul‐Edouard²,Faivre Jean‐Baptiste²,Sühling Michael¹,Rémy‐Jardin Martine²,Taubmann Oliver¹

Affiliation:

1. CT R&D Image Analytics Siemens Healthineers Forchheim Germany

2. Hospital Calmette University Centre of Lille Lille France

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15049

Reference48 articles.

1. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease: the GOLD science committee report 2019

2. Prevalence and outcomes of diabetes, hypertension and cardiovascular disease in COPD

3. CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society

4. Body mass index in male patients with COPD: correlation with low attenuation areas on CT

5. Association between markers of emphysema and more severe chronic obstructive pulmonary disease

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