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). Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-unet-brain-tumor-image-segmentation-based-on-gsconv-module-and-eca-attention-mechanism
MLA“Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-unet-brain-tumor-image-segmentation-based-on-gsconv-module-and-eca-attention-mechanism.
BibTeX@misc{4ortxyz_improved-unet-brain-tumor-image-segmentation-based-on-gsconv-module-and-eca-attention-mechanism_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/improved-unet-brain-tumor-image-segmentation-based-on-gsconv-module-and-eca-attention-mechanism}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism — https://4ort.xyz/entity/improved-unet-brain-tumor-image-segmentation-based-on-gsconv-module-and-eca-attention-mechanism (retrieved 2026-05-24)