Automatic Splenic Injury Classification on Contrast-Enhanced CT Using DenseNet

Can Assoc Radiol J. 2024 Aug;75(3):451-452. doi: 10.1177/08465371241232954. Epub 2024 Feb 19.

Authors

Jacky C K Chow¹, Michael N Patlas²

Affiliations

¹ Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
² Department of Medical Imaging, University of Toronto Temerty Faculty of Medicine, Toronto, ON, Canada.

PMID: 38374642
DOI: 10.1177/08465371241232954

No abstract available

Publication types

Editorial

MeSH terms

Adult
Aged
Contrast Media*
Female
Humans
Male
Middle Aged
Radiographic Image Interpretation, Computer-Assisted / methods
Spleen* / diagnostic imaging
Spleen* / injuries
Tomography, X-Ray Computed* / methods

Substances

Contrast Media