Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module. Retrieved May 24, 2026, from https://4ort.xyz/entity/mfa-unet-a-vessel-segmentation-method-based-on-multi-scale-feature-fusion-and-attention-module
MLA“MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mfa-unet-a-vessel-segmentation-method-based-on-multi-scale-feature-fusion-and-attention-module.
BibTeX@misc{4ortxyz_mfa-unet-a-vessel-segmentation-method-based-on-multi-scale-feature-fusion-and-attention-module_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module}}, year = {2026}, url = {https://4ort.xyz/entity/mfa-unet-a-vessel-segmentation-method-based-on-multi-scale-feature-fusion-and-attention-module}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module — https://4ort.xyz/entity/mfa-unet-a-vessel-segmentation-method-based-on-multi-scale-feature-fusion-and-attention-module (retrieved 2026-05-24)
