Volumetric spline-based Kolmogorov-Arnold architectures surpass CNNs, vision transformers, and graph networks for Parkinson’s disease detection
Abstract Background Parkinson’s Disease diagnosis remains challenging due to subtle early brain changes. Deep learning approaches using brain scans may assist diagnosis, but optimal architectures remain unclear. This study applies Convolutional Kolmogorov-Arnold Networks (ConvKANs), which use flexib...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-11-01
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| Series: | Communications Medicine |
| Acceso en liña: | https://doi.org/10.1038/s43856-025-01141-w |
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