Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field
Summary
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field is a scholarly article[1].
Key Facts
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field's instance of is recorded as scholarly article[2].
References
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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). Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-cnn-for-copd-identification-by-multi-view-snapshot-integration-of-3d-airway-tree-and-lung-field
MLA“Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-cnn-for-copd-identification-by-multi-view-snapshot-integration-of-3d-airway-tree-and-lung-field.
BibTeX@misc{4ortxyz_deep-cnn-for-copd-identification-by-multi-view-snapshot-integration-of-3d-airway-tree-and-lung-field_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field}}, year = {2026}, url = {https://4ort.xyz/entity/deep-cnn-for-copd-identification-by-multi-view-snapshot-integration-of-3d-airway-tree-and-lung-field}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field — https://4ort.xyz/entity/deep-cnn-for-copd-identification-by-multi-view-snapshot-integration-of-3d-airway-tree-and-lung-field (retrieved 2026-05-24)
