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). CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/caresunet-contentaware-residual-unet-for-lesion-segmentation-of-covid19-from-chest-ct-images
MLA“CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/caresunet-contentaware-residual-unet-for-lesion-segmentation-of-covid19-from-chest-ct-images.
BibTeX@misc{4ortxyz_caresunet-contentaware-residual-unet-for-lesion-segmentation-of-covid19-from-chest-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images}}, year = {2026}, url = {https://4ort.xyz/entity/caresunet-contentaware-residual-unet-for-lesion-segmentation-of-covid19-from-chest-ct-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images — https://4ort.xyz/entity/caresunet-contentaware-residual-unet-for-lesion-segmentation-of-covid19-from-chest-ct-images (retrieved 2026-05-24)
