GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features
Summary
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features is a scholarly article[1].
Key Facts
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features. Retrieved May 24, 2026, from https://4ort.xyz/entity/gfnet-automatic-segmentation-of-covid-19-lung-infection-regions-using-ct-images-based-on-boundary-features
MLA“GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gfnet-automatic-segmentation-of-covid-19-lung-infection-regions-using-ct-images-based-on-boundary-features.
BibTeX@misc{4ortxyz_gfnet-automatic-segmentation-of-covid-19-lung-infection-regions-using-ct-images-based-on-boundary-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features}}, year = {2026}, url = {https://4ort.xyz/entity/gfnet-automatic-segmentation-of-covid-19-lung-infection-regions-using-ct-images-based-on-boundary-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features — https://4ort.xyz/entity/gfnet-automatic-segmentation-of-covid-19-lung-infection-regions-using-ct-images-based-on-boundary-features (retrieved 2026-05-24)