xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts
Summary
xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts is a scholarly article[1].
Key Facts
xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts. Retrieved May 24, 2026, from https://4ort.xyz/entity/xlstm-unet-can-be-an-effective-backbone-for-2d-amp-3d-biomedical-image-segmentation-better-than-its-mamba-counterparts
MLA“xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/xlstm-unet-can-be-an-effective-backbone-for-2d-amp-3d-biomedical-image-segmentation-better-than-its-mamba-counterparts.
BibTeX@misc{4ortxyz_xlstm-unet-can-be-an-effective-backbone-for-2d-amp-3d-biomedical-image-segmentation-better-than-its-mamba-counterparts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts}}, year = {2026}, url = {https://4ort.xyz/entity/xlstm-unet-can-be-an-effective-backbone-for-2d-amp-3d-biomedical-image-segmentation-better-than-its-mamba-counterparts}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts — https://4ort.xyz/entity/xlstm-unet-can-be-an-effective-backbone-for-2d-amp-3d-biomedical-image-segmentation-better-than-its-mamba-counterparts (retrieved 2026-05-24)
