Bibliographic Details
| Title: |
Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading. |
| Authors: |
Wiedbrauck D, Karczewski M; Department of Applied Mathematics, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland., Schoenberg SO, Fink C, Kayed H |
| Source: |
Journal of computer assisted tomography [J Comput Assist Tomogr] 2024 May-Jun 01; Vol. 48 (3), pp. 388-393. Date of Electronic Publication: 2023 Dec 18. |
| Publication Type: |
Journal Article |
| Journal Info: |
Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7703942 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-3145 (Electronic) Linking ISSN: 03638715 NLM ISO Abbreviation: J Comput Assist Tomogr Subsets: MEDLINE |
| Database: |
MEDLINE Ultimate |
