A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO)
Summary
A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO) is a scholarly article[1].
Key Facts
A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO)'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO). Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-approach-for-detection-of-lung-cancer-using-self-adaptive-sea-lion-optimization-algorithm-sa-slno
MLA“A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-approach-for-detection-of-lung-cancer-using-self-adaptive-sea-lion-optimization-algorithm-sa-slno.
BibTeX@misc{4ortxyz_a-deep-learning-based-approach-for-detection-of-lung-cancer-using-self-adaptive-sea-lion-optimization-algorithm-sa-slno_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO)}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-approach-for-detection-of-lung-cancer-using-self-adaptive-sea-lion-optimization-algorithm-sa-slno}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO) — https://4ort.xyz/entity/a-deep-learning-based-approach-for-detection-of-lung-cancer-using-self-adaptive-sea-lion-optimization-algorithm-sa-slno (retrieved 2026-05-24)
