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A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection

Research article (2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021) · cited 18× · AI/ML
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A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection

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A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection is a scholarly article[1].

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  • A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-unsupervised-covid-19-lesion-segmentation-from-ct-images-based-on-the-lung-tissue-detection
MLA “A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-unsupervised-covid-19-lesion-segmentation-from-ct-images-based-on-the-lung-tissue-detection.
BibTeX @misc{4ortxyz_a-novel-unsupervised-covid-19-lesion-segmentation-from-ct-images-based-on-the-lung-tissue-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-unsupervised-covid-19-lesion-segmentation-from-ct-images-based-on-the-lung-tissue-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection — https://4ort.xyz/entity/a-novel-unsupervised-covid-19-lesion-segmentation-from-ct-images-based-on-the-lung-tissue-detection (retrieved 2026-05-24)

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