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Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization
Research article (Informatics in Medicine Unlocked, 2023) · cited 28× · AI/ML
Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization
Summary
Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization is a scholarly article[1].
Key Facts
Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization'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). Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-brain-tumor-classification-with-hybrid-cnn-architecture-balancing-accuracy-and-efficiency-through-oneapi-opti
MLA“Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-brain-tumor-classification-with-hybrid-cnn-architecture-balancing-accuracy-and-efficiency-through-oneapi-opti.
BibTeX@misc{4ortxyz_optimizing-brain-tumor-classification-with-hybrid-cnn-architecture-balancing-accuracy-and-efficiency-through-oneapi-opti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-brain-tumor-classification-with-hybrid-cnn-architecture-balancing-accuracy-and-efficiency-through-oneapi-opti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization — https://4ort.xyz/entity/optimizing-brain-tumor-classification-with-hybrid-cnn-architecture-balancing-accuracy-and-efficiency-through-oneapi-opti (retrieved 2026-05-24)
