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). STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels. Retrieved May 24, 2026, from https://4ort.xyz/entity/stc-unet-renal-tumor-segmentation-based-on-enhanced-feature-extraction-at-different-network-levels
MLA“STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stc-unet-renal-tumor-segmentation-based-on-enhanced-feature-extraction-at-different-network-levels.
BibTeX@misc{4ortxyz_stc-unet-renal-tumor-segmentation-based-on-enhanced-feature-extraction-at-different-network-levels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels}}, year = {2026}, url = {https://4ort.xyz/entity/stc-unet-renal-tumor-segmentation-based-on-enhanced-feature-extraction-at-different-network-levels}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels — https://4ort.xyz/entity/stc-unet-renal-tumor-segmentation-based-on-enhanced-feature-extraction-at-different-network-levels (retrieved 2026-05-24)