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Fig. 7 | BMC Medical Imaging

Fig. 7

From: A deep learning framework for automated detection and quantitative assessment of liver trauma

Fig. 7

Liver trauma and organ segmentation results along with ground truth annotations in three separate patients with different levels of LDI. (a) Axial contrast-enhanced CT image from a patient with a very subtle 0.62% liver disruption. (b) Axial contrast-enhanced CT image from a patient with 2.25% reference LDI. (c) Axial contrast-enhanced CT image from a patient with 15.26% reference LDI. In (a), (b), and (c), the first column corresponds to the original CT image; the second column corresponds to the ground truth annotations; and the third column corresponds to the automated segmentation results. In both ground truth annotations and the segmentation results, the green line shows the liver contour while the red line marks the contour of trauma regions

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