Deep Learning-based Super-Resolution Algorithm: Potential in the Management of Subsolid Nodules COMMENT

被引：4
|
作者：
Goo, Jin Mo [1 ,2 ]
机构：
[1] Seoul Natl Univ, Coll Med, Dept Radiol, 101 Daekhak Ro, Seoul 110744, South Korea
[2] Seoul Natl Univ, Med Res Ctr, Inst Radiat Med, 101 Daekhak Ro, Seoul 110744, South Korea
来源：
RADIOLOGY | 2021年 / 299卷 / 01期
关键词：
CHEST CT;
D O I：
10.1148/radiol.2021204463
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：
引用
收藏
页码：220 / 221
页数：2
相关论文
共 50 条
  • [41] Deep Learning-Based Super-Resolution Reconstruction and Marker Detection for Drone Landing
    Noi Quang Truong
    Phong Ha Nguyen
    Nam, Se Hyun
    Park, Kang Ryoung
    IEEE ACCESS, 2019, 7 : 61639 - 61655
  • [42] Learning-Based Quality Assessment for Image Super-Resolution
    Zhao, Tiesong
    Lin, Yuting
    Xu, Yiwen
    Chen, Weiling
    Wang, Zhou
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 24 : 3570 - 3581
  • [43] Fast Learning-Based Single Image Super-Resolution
    Kumar, Neeraj
    Sethi, Amit
    IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (08) : 1504 - 1515
  • [44] Blind super-resolution using a learning-based approach
    Bégin, I
    Ferrie, FP
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 2004, : 85 - 89
  • [45] Super-resolution reconstruction algorithm based on deep learning mechanism and wavelet fusion
    Yang S.
    Wang H.
    Wang Y.
    Li J.
    Wang Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (01): : 189 - 197
  • [46] Deep learning-based super-resolution for harmful algal bloom monitoring of inland water
    Kwon, Do Hyuck
    Hong, Seok Min
    Abbas, Ather
    Park, Sanghyun
    Nam, Gibeom
    Yoo, Jae-Hyun
    Kim, Kyunghyun
    Kim, Hong Tae
    Pyo, Jongcheol
    Cho, Kyung Hwa
    GISCIENCE & REMOTE SENSING, 2023, 60 (01)
  • [47] Robust deep learning-based multi-image super-resolution using inpainting
    Yau, Henry
    Du, Xian
    JOURNAL OF ELECTRONIC IMAGING, 2021, 30 (01)
  • [48] Deep Learning-based Super-Resolution for the Finite Element Analysis of Additive Manufacturing Process
    Zhang, Yi
    Freeman, Elton
    PROCEEDINGS OF ASME 2022 17TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2022, VOL 1, 2022,
  • [49] Deep learning-based infrared imaging degradation model identification and super-resolution reconstruction
    Cao J.
    Ding Q.
    Zou D.
    Qin H.
    Luo H.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2024, 53 (05):
  • [50] Deep learning-based image super-resolution restoration for mobile infrared imaging system
    Wu, Heng
    Hao, Xinyue
    Wu, Jibiao
    Xiao, Huapan
    He, Chunhua
    Yin, Shenxin
    INFRARED PHYSICS & TECHNOLOGY, 2023, 132
12345