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
  • [1] Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging
    Yang, Fan
    Weng, Xin
    Miao, Yuehong
    Wu, Yuhui
    Xie, Hong
    Lei, Pinggui
    INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [2] DFR-U-Net: Dual residual and feature fusion network for ulna and radius segmentation on dual-energy X-ray absorptiometry images
    Yang, Fan
    Weng, Xin
    Wu, Yuhui
    Miao, Yuehong
    Lei, Pinggui
    Hu, Zuquan
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2023, 31 (03) : 641 - 653
  • [3] Parameter identification method for dual-energy X-ray imaging
    Osipov, Sergei
    Libin, Eduard
    Chakhlov, Sergei
    Osipov, Oleg
    Shtein, Alexander
    NDT & E INTERNATIONAL, 2015, 76 : 38 - 42
  • [4] A deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery
    Rogers, Thomas W.
    Jaccard, Nicolas
    Griffin, Lewis D.
    ANOMALY DETECTION AND IMAGING WITH X-RAYS (ADIX) II, 2017, 10187
  • [5] Automatic Defect Segmentation in X-Ray Images Based on Deep Learning
    Du, Wangzhe
    Shen, Hongyao
    Fu, Jianzhong
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (12) : 12912 - 12920
  • [6] Deep learning based spectral extrapolation for dual-source, dual-energy x-ray computed tomography
    Clark, Darin P.
    Schwartz, Fides R.
    Marin, Daniele
    Ramirez-Giraldo, Juan C.
    Badea, Cristian T.
    MEDICAL PHYSICS, 2020, 47 (09) : 4150 - 4163
  • [7] Automatic Quality Control in Lung X-Ray Imaging with Deep Learning
    Dovganich A.A.
    Khvostikov A.V.
    Krylov A.S.
    Parolina L.E.
    Computational Mathematics and Modeling, 2021, 32 (3) : 276 - 285
  • [8] Deep learning for automatic mandible segmentation on dental panoramic x-ray images
    Machado, Leonardo Ferreira
    Watanabe, Plauto Christopher Aranha
    Rodrigues, Giovani Aantonio
    Junior, Luiz Otavio Murta
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2023, 9 (03)
  • [9] Automatic threat recognition of prohibited items at aviation checkpoints with x-ray imaging: a deep learning approach
    Liang, Kevin J.
    Heilmann, Geert
    Gregory, Christopher
    Diallo, Souleymane O.
    Carlson, David
    Spell, Gregory P.
    Sigman, John B.
    Roe, Kris
    Carin, Lawrence
    ANOMALY DETECTION AND IMAGING WITH X-RAYS (ADIX) III, 2018, 10632
  • [10] Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure
    Lee, Donghoon
    Kim, Hwiyoung
    Choi, Byungwook
    Kim, Hee-Joung
    PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (11)
12345