Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.
Ghosh A, Bose S, Patton D, Kumar I, Khalkhali V, Henry MK, Ouyang M, Huang H, Vossough A, Sze RW, Sotardi S, Francavilla M.
Ghosh A, et al.
Br J Radiol. 2023 Apr 1;96(1145):20220778. doi: 10.1259/bjr.20220778. Epub 2023 Mar 3.
Br J Radiol. 2023.
PMID: 36802807
Free PMC article.
METHODS: This retrospective study included 1311 frontal chest radiographs (radiographs with rib fractures, n = 653) from 1231 unique patients (median age: 4 m). Patients with more than one radiograph were included only in the training set. A binary classification was perfo …
METHODS: This retrospective study included 1311 frontal chest radiographs (radiographs with rib fractures, n = 653) from 1231 unique patient …