Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading.
Saved in:
| 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 |
Be the first to leave a comment!
