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September 17, 2026Machine Learning and Knowledge ExtractionOpen Access

Functional Kolmogorov-Arnold Network: A Hilbert-Space Perspective on Spatial Representation Learning for Medical Image Segmentation

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Authors

MPM. A. PenkinAKA. S. Krylov

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Cite This Study

Penkin et al. (2026) studied this question.

synapsesocial.com/papers/6aabb75d5f706d05830e6536https://doi.org/10.3390/make8090283
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1KAN–U‐Net: An Enhanced KAN‐Fused U‐Net for Medical Image Segmentation2026
  2. 2FC-KAN: Function Combinations in Kolmogorov-Arnold Networks2024 · 1 citations
  3. 3Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation2025
  4. 4U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation2024 · 19 citations
  5. 5FFAKAN: A Frequency-Aware Filtering Activation-Based Kolmogorov-Arnold Network for Hyperspectral Image Classification2026