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. 2022 Mar 22;9:841202. doi: 10.3389/fmed.2022.841202

FIGURE 2.

FIGURE 2

Development of artificial intelligence preoperative planning system for THA (AIHIP): image segmentation. (A) Net-work structure; (B) segmentation of pelvis and femur. Images of original CT, manual segmentation, and automatic segmentation with AIHIP in four primary diseases: avascular necrosis (AVN), femoral neck fracture (FNF), osteoarthritis (OA), and developmental dysplasia of hip (DDH). 3D reconstruction of the CT was completed after segmentation; (C) performance of AIHIP in automatic segmentation. Dice similarity coefficient (DSC) of training set and validation set. Loss of training set and validation set; (D) time comparison between manual segmentation and artificial intelligence (AI) segmentation. Time comparison between manual correction and AI correction. ***p < 0.001.