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Fig. 4 | Journal of Orthopaedic Surgery and Research

Fig. 4

From: Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty

Fig. 4

CMG network ensures the overall accuracy of segmented femur head. A Qualitative comparison of the segmentation results on a given axial slice of the diseased hip joints (ONFH necrosis of the femoral head, FNF femoral neck fracture, DDH development dysplasia hip, OA hip osteoarthritis). B Accuracy (DOC, %) comparison between the proposed method and four state-of-the-art methods on diseased hip joints. C Accuracy (ASD, px) comparison between the proposed method and four state-of-the-art methods on diseased hip joints. D Accuracy (HD, px) comparison between the proposed method and four state-of-the-art methods on diseased hip joints. **p < 0.01, ***p < 0.001, ****p < 0.0001 versus CMG Net

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