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.
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)