Rib Fracture Segmentation Based on 3D FM-Unet

Computed tomography (CT) scanning is a common method for diagnosing rib fractures. However, the shape of the fracture region obtained from CT image segmentation seriously affects the clinician's diagnosis. To solve this problem, we propose a segmentation network (3D FM-UNet) to segment CT images to obtain more accurate regions of rib fractures. The experiments show that our 3D FM-UNet achieves an average mean Dice score of 0.5452 and an average IoU of 0.3748, which exceeds the comparison methods.