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Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition

Research article (IEEE Transactions on Medical Imaging, 2019) · cited 37× · AI/ML
academia openalex:W2907386579
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Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition

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Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition is a scholarly article[1].

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  • Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-pathological-lung-segmentation-in-low-dose-ct-image-using-eigenspace-sparse-shape-composition
MLA “Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-pathological-lung-segmentation-in-low-dose-ct-image-using-eigenspace-sparse-shape-composition.
BibTeX @misc{4ortxyz_automatic-pathological-lung-segmentation-in-low-dose-ct-image-using-eigenspace-sparse-shape-composition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-pathological-lung-segmentation-in-low-dose-ct-image-using-eigenspace-sparse-shape-composition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition — https://4ort.xyz/entity/automatic-pathological-lung-segmentation-in-low-dose-ct-image-using-eigenspace-sparse-shape-composition (retrieved 2026-05-24)

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