Article

Benchmarking Geometric Deep Learning for Cortical Segmentation and Neurodevelopmental Phenotype Prediction

2021-12-02

Abstract excerpt

The emerging field of geometric deep learning extends the application of convolutional neural networks to irregular domains such as graphs, meshes and surfaces. Several recent studies have explored the potential for using these techniques to analyse and segment the cortical surface. However, there has been no comprehensive comparison of these approaches to one another, nor to existing Euclidean methods, to date. T...

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Literature Corpus work: 0063feee-8467-5f84-9263-94fa69417058
DOI: 10.1101/2021.12.01.470730

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