Search Results - "Dynamic graph convolutional autoencoder"

  • Showing 1 - 3 results of 3
Refine Results
  1. 1

    Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes by Xuan, Ping, Cui, Hui, Zhang, Hongda, Zhang, Tiangang, Wang, Linlin, Nakaguchi, Toshiya, Duh, Henry B.L.

    ISSN: 0950-7051, 1872-7409
    Published: Amsterdam Elsevier B.V 25.01.2022
    Published in Knowledge-based systems (25.01.2022)
    “…Extraction and integration of semantic connections, spatial relations and dependencies are critical in volumetric image segmentation. This is a challenging…”
    Get full text
    Journal Article
  2. 2
  3. 3

    GDGC-AE: A New Approach to Mechanical Anomaly Detection Based on Graph Convolutional Networks and Autoencoders by Zhang, Mingzhe, Su, Zhengchang, Hao, Pengyuan, Lin, Zesheng, Wang, Huaqing, Song, Liuyang

    Published: IEEE 31.10.2024
    “… In this paper, a global dynamic graph convolutional autoencoder (GDGC-AE) model based on Chebyshev convolution is proposed to cope with the above problems…”
    Get full text
    Conference Proceeding