Opto-Electronic Engineering, Volume. 52, Issue 3, 240281(2025)

Edge feature and detail-aware network integrated YOLOv8s algorithm for hip joint keypoint detection

Jia Lv1,2, Xunlu Duan1, and Xin Chen3、*
Author Affiliations
  • 1College of Computer and Information Sciences, Chongqing Normal University, Chongqing 401331, China
  • 2National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing 401331, China
  • 3Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
  • show less
    References(32)

    [1] Bradley C S, Verma Y, Maddock C L et al. A comprehensive nonoperative treatment protocol for developmental dysplasia of the hip in infants: a prospective longitudinal cohort study[J]. Bone Joint J, 105-B, 935-942(2023).

    [2] Alrashdi N, Alotaibi M, Alharthi M et al. Incidence, prevalence, risk factors, and clinical treatment for children with developmental dysplasia of the hip in Saudi Arabia. a systematic review[J]. J Epidemiol Glob Health, 14, 549-560(2024).

    [3] Fujii M, Kawano S, Ueno M et al. Clinical results of periacetabular osteotomy with structural bone allograft for the treatment of severe hip dysplasia[J]. Bone Joint J, 105-B, 743-750(2023).

    [4] Dornacher D, Lutz B, Fuchs M et al. Acetabular deficiency in borderline hip dysplasia is underestimated by lateral center edge angle alone[J]. Arch Orthop Trauma Surg, 143, 3937-3944(2023).

    [5] Iyengar K P, Fitzpatrick J D, Michalos M et al. Birmingham royal orthopaedic hospital (BROH) femoral offset—an ancillary measure of adult dysplasia of the hip[J]. Indian J Radiol Imaging, 33, 471-477(2023).

    [6] McQuivey K S, Secretov E, Domb B G et al. A multicenter study of radiographic measures predicting failure of arthroscopy in borderline hip dysplasia: beware of the Tönnis angle[J]. Am J Sports Med, 48, 1608-1615(2020).

    [7] Li Q, Zhong L, Huang H N et al. Auxiliary diagnosis of developmental dysplasia of the hip by automated detection of sharp's angle on standardized anteroposterior pelvic radiographs[J]. Medicine, 98, e18500(2019).

    [10] Rana M, Bhushan M. Machine learning and deep learning approach for medical image analysis: diagnosis to detection[J]. Multimed Tools Appl, 82, 26731-26769(2023).

    [11] Liu C B, Xie H T, Zhang S C et al. Misshapen pelvis landmark detection with local-global feature learning for diagnosing developmental dysplasia of the hip[J]. IEEE Trans Med Imaging, 39, 3944-3954(2020).

    [13] Lv J, Che J L, Chen X. CBA-YOLOv5s: a hip dysplasia detection algorithm based on YOLOv5s using angle consistency and bi-level routing attention[J]. Biomed Signal Process Control, 95, 106482(2024).

    [14] Xu W Z, Shu L Q, Gong P et al. A deep-learning aided diagnostic system in assessing developmental dysplasia of the hip on pediatric pelvic radiographs[J]. Front Pediatr, 9, 785480(2022).

    [15] Xu J Y, Xie H T, Tan Q F et al. Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip[J]. World Wide Web, 26, 539-559(2023).

    [16] Kim N. Computational modelling for surgical planning of hip dysplasia[D](2023).

    [17] Rahmawati S, Devita R, Zain R H et al. Prewitt and canny methods on inversion image edge detection: an evaluation[J]. J Phys: Conf Ser, 1933, 012039(2021).

    [18] Tian B, Wei W. Research overview on edge detection algorithms based on deep learning and image fusion[J]. Secur Commun Networks, 2022, 1155814(2022).

    [20] Kong L Y, Wang F B, Yang F Y et al. FISRCN: a single small-sized image super-resolution convolutional neural network by using edge detection[J]. Multimed Tools Appl, 83, 19609-19627(2024).

    [25] Zheng J W, Shao A H, Yan Y D et al. Remote sensing semantic segmentation via boundary supervision-aided multiscale channelwise cross attention network[J]. IEEE Trans Geosci Remote Sens, 61, 4405814(2023).

    [26] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C], 448-456.(2015).

    [27] Pan J Y, Zhang Y J. Small object detection in aerial drone imagery based on YOLOv8[J]. IAENG Int J Comput Sci, 51, 1346-1354(2024).

    [28] Xu L Y, Zhao Y F, Zhai Y H et al. Small object detection in UAV images based on YOLOv8n[J]. Int J Comput Intell Syst, 17, 223(2024).

    [29] Xie J, Deng Y M, Wang R M. Improved traffic sign detection algorithm based on YOLOv8s[J]. Comput Eng, 50, 338-349(2024).

    [31] Muhammad W, Aramvith S, Onoye T. Multi-scale Xception based depthwise separable convolution for single image super-resolution[J]. PLoS One, 16, e0249278(2021).

    [32] Wang Y, Wang H H, Liu S D et al. Small target detection in sonar images with multilevel feature screening and task dynamic alignment[J]. Opto-Electron Eng, 51, 240196(2024).

    Tools

    Get Citation

    Copy Citation Text

    Jia Lv, Xunlu Duan, Xin Chen. Edge feature and detail-aware network integrated YOLOv8s algorithm for hip joint keypoint detection[J]. Opto-Electronic Engineering, 2025, 52(3): 240281

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Article

    Received: Dec. 2, 2024

    Accepted: Feb. 25, 2025

    Published Online: May. 22, 2025

    The Author Email: Xin Chen (陈欣)

    DOI:10.12086/oee.2025.240281

    Topics