Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN
Summary
Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN is a scholarly article[1].
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Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN's instance of is recorded as scholarly article[2].
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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). Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/lung-nodules-detection-using-grey-wolf-optimization-by-weighted-filters-and-classification-using-cnn
MLA“Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lung-nodules-detection-using-grey-wolf-optimization-by-weighted-filters-and-classification-using-cnn.
BibTeX@misc{4ortxyz_lung-nodules-detection-using-grey-wolf-optimization-by-weighted-filters-and-classification-using-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN}}, year = {2026}, url = {https://4ort.xyz/entity/lung-nodules-detection-using-grey-wolf-optimization-by-weighted-filters-and-classification-using-cnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN — https://4ort.xyz/entity/lung-nodules-detection-using-grey-wolf-optimization-by-weighted-filters-and-classification-using-cnn (retrieved 2026-05-24)
