Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

被引:0
|
作者
Fan Yang
Xin Weng
Yuehong Miao
Yuhui Wu
Hong Xie
Pinggui Lei
机构
[1] Guizhou Medical University,School of Biology and Engineering
[2] Guizhou Medical University,Key Laboratory of Biology and Medical Engineering
[3] The Affiliated Hospital of Guizhou Medical University,Department of Radiology
来源
Insights into Imaging | / 12卷
关键词
Ulna and radius segmentation; Dual-energy X-ray imaging; Deep learning; Residual block;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Deep learning-based automatic sella turcica segmentation and morphology measurement in X-ray images
    Qi Feng
    Shu Liu
    Ju-xiang Peng
    Ting Yan
    Hong Zhu
    Zhi-jun Zheng
    Hong-chao Feng
    BMC Medical Imaging, 23
  • [22] Dual-Energy Processing of X-ray Images of Beryl in Muscovite Obtained Using Pulsed X-ray Sources
    Komarskiy, Alexander
    Korzhenevskiy, Sergey
    Ponomarev, Andrey
    Chepusov, Alexander
    SENSORS, 2023, 23 (09)
  • [23] Deep learning for ultrafast X-ray scattering and imaging with intense X-ray FEL pulses
    Hu, Menglu
    Fan, Jiadong
    Tong, Yajun
    Sun, Zhibin
    Jiang, Huaidong
    ADVANCED OPTICAL TECHNOLOGIES, 2025, 14
  • [24] Deep Learning Approach for Automatic Classification of X-Ray Images using Convolutional Neural Network
    Mondal, Sushavan
    Agarwal, Krishna
    Rashid, Mamoon
    2019 FIFTH INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP 2019), 2019, : 326 - 331
  • [25] Optimizing dual-energy x-ray parameters for the ExacTrac clinical stereoscopic imaging system to enhance soft-tissue imaging
    Bowman, Wesley A.
    Robar, James L.
    Sattarivand, Mike
    MEDICAL PHYSICS, 2017, 44 (03) : 823 - 831
  • [26] Experimental Optimization of the Exposure Allocation for Xenon-enhanced Dual-energy X-ray Imaging of Lung Function
    Basharat, Fateen
    Tanguay, Jesse
    MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING, 2022, 12031
  • [27] Interactive defect segmentation in X-Ray images based on deep learning
    Du, Wangzhe
    Shen, Hongyao
    Zhang, Ge
    Yao, Xinhua
    Fu, Jianzhong
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 198
  • [28] Optimizing dual-energy x-ray parameters for the ExacTrac clinical stereoscopic imaging system to enhance soft-tissue imaging
    Bowman W.A.
    Robar J.L.
    Sattarivand M.
    Sattarivand, Mike (Mike.Sattarivand@nshealth.ca), 1600, John Wiley and Sons Ltd (44): : 823 - 831
  • [29] Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
    Stirenko, Sergii
    Kochura, Yuriy
    Alienin, Oleg
    Rokovyi, Oleksandr
    Gordienko, Yuri
    Gang, Peng
    Zeng, Wei
    2018 IEEE 38TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2018, : 422 - 428
  • [30] Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
    Akcay, Samet
    Breckon, Toby
    PATTERN RECOGNITION, 2022, 122