Abstract
Functional Kolmogorov-Arnold Networks (FunKAN) achieve state-of-the-art accuracy on MRI Gibbs artifact removal and anatomical segmentation, but their 11.6 M parameters and 8.7 GFLOPs are too large for edge medical devices. We present FunKANLite, a two-stage, hardware-aware compression of FunKAN for point-of-care use. FunKANLite-TR reduces the spatial prior and replaces the ResBlock offset predictor with a depthwise-separable block. It has 1.9x fewer parameters than FunKAN and no loss in accuracy. We then distill FunKANLite-TR into FunKANLite-ST, which lowers the Hermite basis rank, factorizes the spatial prior into a low-rank form, and halves the filter widths. FunKANLite-ST has 5.6x fewer parameters and 3.7x fewer GFLOPs than FunKAN. It stays within 1.4 percentage points IoU of FunKAN on BUSI, GlaS, and CVC-ClinicDB, and reaches 33.95 dB PSNR on IXI. On an NVIDIA Jetson Orin Nano and a Raspberry Pi 5, FunKANLite-ST reduces energy per inference by up to 68% and raises throughput by 2.9x.
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Publication details
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- Open access
- Green open access
Cite this article
APA 7
Sirjani, M. S. (2026). Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation. https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation
MLA 9
Sirjani, Mohammad Sadegh. "Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation." https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation.
Chicago (author–date)
Sirjani, Mohammad Sadegh. 2026. "Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation." https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation.
Harvard
Sirjani, M. S. (2026) 'Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation', Available at: https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation.
Vancouver
Sirjani MS. Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation. https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation
IEEE
M. S. Sirjani, "Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation," https://omanscience.com/en/articles/hardware-aware-functional-kolmogorov-arnold-networks-for-efficient-medical-image-enhancement-and-segmentation.