ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans
Summary
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans is a scholarly article[1].
Key Facts
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans's a segmentation model for COVID-19 infection from lung CT scans — instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/adid-uneta-segmentation-model-for-covid-19-infection-from-lung-ct-scans
MLA“ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adid-uneta-segmentation-model-for-covid-19-infection-from-lung-ct-scans.
BibTeX@misc{4ortxyz_adid-uneta-segmentation-model-for-covid-19-infection-from-lung-ct-scans_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans}}, year = {2026}, url = {https://4ort.xyz/entity/adid-uneta-segmentation-model-for-covid-19-infection-from-lung-ct-scans}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans — https://4ort.xyz/entity/adid-uneta-segmentation-model-for-covid-19-infection-from-lung-ct-scans (retrieved 2026-05-24)