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). ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/es-unet-efficient-3d-medical-image-segmentation-with-enhanced-skip-connections-in-3d-unet
MLA“ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/es-unet-efficient-3d-medical-image-segmentation-with-enhanced-skip-connections-in-3d-unet.
BibTeX@misc{4ortxyz_es-unet-efficient-3d-medical-image-segmentation-with-enhanced-skip-connections-in-3d-unet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet}}, year = {2026}, url = {https://4ort.xyz/entity/es-unet-efficient-3d-medical-image-segmentation-with-enhanced-skip-connections-in-3d-unet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet — https://4ort.xyz/entity/es-unet-efficient-3d-medical-image-segmentation-with-enhanced-skip-connections-in-3d-unet (retrieved 2026-05-24)
