UNETVL, a 3D segmentation model replacing UNETR's transformer encoder with Vision-LSTM and Chebyshev KAN layers, achieves competitive Dice scores on ACDC and AMOS2022.
As shown in Table 1, when comparing the performance of the ViL architecture with Chebyshev KAN to the UNETR baseline, a signifi- cant improvement is observed
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UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
UNETVL, a 3D segmentation model replacing UNETR's transformer encoder with Vision-LSTM and Chebyshev KAN layers, achieves competitive Dice scores on ACDC and AMOS2022.