Towards Shape-based Knee Osteoarthritis Classification using Graph Convolutional Networks
- 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.
Author: | Christoph von TycowiczORCiD |
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Document Type: | In Proceedings |
Parent Title (English): | 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) |
Year of first publication: | 2020 |
ArXiv Id: | http://arxiv.org/abs/1910.06119 |
DOI: | https://doi.org/10.1109/ISBI45749.2020.9098687 |