Search Results - "Dynamic graph convolutional autoencoder"
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Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes
ISSN: 0950-7051, 1872-7409Published: Amsterdam Elsevier B.V 25.01.2022Published 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…”
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Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes
ISSN: 0950-7051Published: Elsevier BV 01.01.2022Published in Knowledge-Based Systems (01.01.2022)Get full text
Journal Article -
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GDGC-AE: A New Approach to Mechanical Anomaly Detection Based on Graph Convolutional Networks and Autoencoders
Published: IEEE 31.10.2024Published in 2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) (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…”
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