Figure 4 | Scientific Reports

Figure 4

From: Automated fracture screening using an object detection algorithm on whole-body trauma computed tomography

Figure 4

Representative images of true positive, false positive, and false negative. (A–C) CT axial slices detected and diagnosed correctly by the CNN model for three fractures (true positive). (D–F) CT axial slices of a misdiagnosed fracture (false positive). The vascular groove was mistaken for a pelvic fracture (D); The boundary between costal cartilage and rib was mistaken for a rib fracture (E); The vascular groove was mistaken for a spine fracture (F). (G–I) CT axial slices of a missed fracture (false negative were indicated by arrowheads). CT, computed tomography; CNN, convolutional neural network.

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