Litcius/Paper detail

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes

Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry Been‐Lirn Duh

2021Knowledge-Based Systems36 citationsDOI

Topics & Concepts

Computer scienceAutoencoderSegmentationGraphInferenceArtificial intelligencePattern recognition (psychology)Node (physics)EmbeddingImage segmentationTheoretical computer scienceGraph embeddingDeep learningEngineeringStructural engineeringAdvanced Neural Network ApplicationsRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes | Litcius