Article

Geometric Deep Learning Methods for Improved Generalizability in Medical Computer Vision: Hyperbolic Convolutional Neural Networks in Multi-Modality Neuroimaging

2024-10-14

Abstract excerpt

<h4>Objective</h4> This study investigates the potential advantages of hyperbolic convolutional neural networks (HCNNs) over traditional convolutional neural networks (CNNs) in neuroimaging tasks. <h4>Materials and Methods</h4> We conducted a comparative analysis of HCNNs and CNNs across various medical imaging modalities and diseases, with a focus on a compiled multi-modality neuroimaging dataset. The models were...

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Literature Corpus work: c5bc91f4-dbc5-5651-a12d-24d6e2717db3
DOI: 10.1101/2024.10.12.24315391

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