Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches
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, Conference
Huang, B; Heng, F; Henry, T; Elicker, B; Kallianos, K; Hoffman, EA; Mauger, D; Fain, SB; Israel, E; Levy, BD; Denlinger, LC; Wenzel, SE ...
Published in: AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
2022
Duke Scholars
Published In
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
EISSN
1535-4970
ISSN
1073-449X
Publication Date
2022
Volume
205
Related Subject Headings
- Respiratory System
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Huang, B., Heng, F., Henry, T., Elicker, B., Kallianos, K., Hoffman, E. A., … Fahy, J. V. (2022). Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (Vol. 205).
Huang, B., F. Heng, T. Henry, B. Elicker, K. Kallianos, E. A. Hoffman, D. Mauger, et al. “Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches.” In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 205, 2022.
Huang B, Heng F, Henry T, Elicker B, Kallianos K, Hoffman EA, et al. Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches. In: AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2022.
Huang, B., et al. “Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches.” AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, vol. 205, 2022.
Huang B, Heng F, Henry T, Elicker B, Kallianos K, Hoffman EA, Mauger D, Fain SB, Israel E, Levy BD, Denlinger LC, Wenzel SE, Castro M, Fahy JV. Quantitative Analysis of Mucus Plugs in Computed Tomography (CT) Lung Scans from Patients with Severe Asthma Reveals Heterogeneous Mucus Plug Phenotypes and Enables Automation via Deep Learning Approaches. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2022.
Published In
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
EISSN
1535-4970
ISSN
1073-449X
Publication Date
2022
Volume
205
Related Subject Headings
- Respiratory System
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 11 Medical and Health Sciences