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- W4288093233 abstract "We present a transductive learning approach for morphometric osteophyte grading based on geometric deep learning. We formulate the grading task as semi-supervised node classification problem on a graph embedded in shape space. To account for the high-dimensionality and non-Euclidean structure of shape space we employ a combination of an intrinsic dimension reduction together with a graph convolutional neural network. We demonstrate the performance of our derived classifier in comparisons to an alternative extrinsic approach." @default.
- W4288093233 created "2022-07-28" @default.
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- W4288093233 date "2019-10-11" @default.
- W4288093233 modified "2023-09-29" @default.
- W4288093233 title "Towards Shape-based Knee Osteoarthritis Classification using Graph Convolutional Networks" @default.
- W4288093233 doi "https://doi.org/10.48550/arxiv.1910.06119" @default.
- W4288093233 hasPublicationYear "2019" @default.
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