Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation

被引：0
|
作者：
Xianling Dong
Shiqi Xu
Yanli Liu
Aihui Wang
M. Iqbal Saripan
Li Li
Xiaolei Zhang
Lijun Lu
机构：
[1] Chengde Medical University,Present Address: Department of Biomedical Engineering
[2] Chengde Medical University,Department of Nuclear Medicine, Affiliated Hospital
[3] Universiti Putra Malaysia,Faculty of Engineering
[4] Southern Medical University,School of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing
来源：
Cancer Imaging | / 20卷
关键词：
Deep learning; Multi-view; Medical image; Three-dimensional segmentation; Secondary input; 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] Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation
    Dong, Xianling
    Xu, Shiqi
    Liu, Yanli
    Wang, Aihui
    Saripan, M. Iqbal
    Li, Li
    Zhang, Xiaolei
    Lu, Lijun
    CANCER IMAGING, 2020, 20 (01)
  • [2] Multi-View Data Augmentation to Improve Wound Segmentation on 3D Surface Model by Deep Learning
    Niri, R.
    Gutierrez, E.
    Douzi, H.
    Lucas, Y.
    Treuillet, S.
    Castaneda, B.
    Hernandez, I
    IEEE ACCESS, 2021, 9 : 157628 - 157638
  • [3] Review of multi-view 3D object recognition methods based on deep learning
    Qi, Shaohua
    Ning, Xin
    Yang, Guowei
    Zhang, Liping
    Long, Peng
    Cai, Weiwei
    Li, Weijun
    DISPLAYS, 2021, 69
  • [4] MVTN: Learning Multi-view Transformations for 3D Understanding
    Hamdi, Abdullah
    AlZahrani, Faisal
    Giancola, Silvio
    Ghanem, Bernard
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2025, 133 (04) : 2197 - 2226
  • [5] Multi-view 3D reconstruction based on deep learning: A survey and comparison of methods
    Wu, Juhao
    Wyman, Omar
    Tang, Yadong
    Pasini, Damiano
    Wang, Wenlong
    NEUROCOMPUTING, 2024, 582
  • [6] A multi-view recurrent neural network for 3D mesh segmentation
    Le, Truc
    Bui, Giang
    Duan, Ye
    COMPUTERS & GRAPHICS-UK, 2017, 66 : 103 - 112
  • [7] 3D Sketching using Multi-View Deep Volumetric Prediction
    Delanoy, Johanna
    Aubry, Mathieu
    Isola, Phillip
    Efros, Alexei A.
    Bousseau, Adrien
    PROCEEDINGS OF THE ACM ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES, 2018, 1 (01)
  • [8] Wide-Baseline Multi-View Video Segmentation for 3D Reconstruction
    Sarim, Muhammad
    Hilton, Adrian
    Guillemaut, Jean-Yves
    Kim, Hansung
    Takai, Takeshi
    PROCEEDINGS OF THE 2010 ACM WORKSHOP ON 3D VIDEO PROCESSING (3DVP'10), 2010, : 13 - 18
  • [9] High-speed 3D shape measurement with the multi-view system using deep learning
    Yin, Wei
    Zuo, Chao
    Feng, Shijie
    Tao, Tianyang
    Chen, Qian
    OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS VI, 2019, 11189
  • [10] Deep Multi-View Learning for Tire Recommendation
    Ranvier, Thomas
    Benabdeslem, Khalid
    Bourhis, Kilian
    Canitia, Bruno
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
12345