Deep Learning with Adaptive Hyper-Parameters for Image Reconstruction in Low-Dose CT

被引：0
|
作者：
Ding, Q. [1 ]
Gao, H. [2 ]
Ji, H. [1 ]
机构：
[1] Natl Univ Singapore, Singapore, Singapore
[2] Emory Univ, Winship Canc Inst, Atlanta, GA 30322 USA
来源：
MEDICAL PHYSICS | 2020年 / 47卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
BReP-SNAP-
引用
收藏
页码：E392 / E392
页数：1
相关论文
共 50 条
  • [41] A Model-Based Unsupervised Deep Learning Method for Low-Dose CT Reconstruction
    Liang, Kaichao
    Zhang, Li
    Yang, Hongkai
    Chen, Zhiqiang
    Xing, Yuxiang
    IEEE ACCESS, 2020, 8 : 159260 - 159273
  • [42] SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
    Li, Zhipeng
    Ye, Siqi
    Long, Yong
    Ravishankar, Saiprasad
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 3959 - 3968
  • [43] A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation
    Haq, Nuhman Ui
    Khan, Ahmad
    Rehman, Zia Ur
    Din, Ahmad
    Shao, Ling
    Shah, Sajid
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (14) : 21771 - 21787
  • [44] Low-dose CT iterative reconstruction based on image block classification and dictionary learning
    Yunjia Gui
    Xia Zhao
    Yunjiao Bai
    Rongge Zhao
    Wenqiang Li
    Yi Liu
    Signal, Image and Video Processing, 2023, 17 : 407 - 415
  • [45] Fast iterative adaptive reconstruction in low-dose CT imaging
    Cheng, Lin
    Chen, Yunqiang
    Fang, Tong
    Tyan, Jason
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 889 - +
  • [46] Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients
    Wang, Tian-Jiao
    Wang, Yun
    Zhang, Zhu-Hua
    Wang, Ming
    Wang, Man
    Su, Tong
    Xu, Ying-Hao
    Ma, Zhuang-Fei
    Wang, Jian
    Chen, Yu
    Jin, Zheng-Yu
    HELIYON, 2024, 10 (01)
  • [47] Deep learning image reconstruction for pancreatic low-dose computed tomography: comparison with hybrid iterative reconstruction
    Yoshifumi Noda
    Yukako Iritani
    Nobuyuki Kawai
    Toshiharu Miyoshi
    Takuma Ishihara
    Fuminori Hyodo
    Masayuki Matsuo
    Abdominal Radiology, 2021, 46 : 4238 - 4244
  • [48] Deep learning image reconstruction for pancreatic low-dose computed tomography: comparison with hybrid iterative reconstruction
    Noda, Yoshifumi
    Iritani, Yukako
    Kawai, Nobuyuki
    Miyoshi, Toshiharu
    Ishihara, Takuma
    Hyodo, Fuminori
    Matsuo, Masayuki
    ABDOMINAL RADIOLOGY, 2021, 46 (09) : 4238 - 4244
  • [49] Detail-Revealing Deep Low-Dose CT Reconstruction
    Ye, Xinchen
    Xu, Yuyao
    Xu, Rui
    Kido, Shoji
    Tomiyama, Noriyuki
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 8789 - 8796
  • [50] Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction
    Kaga, Tetsuro
    Noda, Yoshifumi
    Mori, Takayuki
    Kawai, Nobuyuki
    Miyoshi, Toshiharu
    Hyodo, Fuminori
    Kato, Hiroki
    Matsuo, Masayuki
    JAPANESE JOURNAL OF RADIOLOGY, 2022, 40 (07) : 703 - 711
12345