Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations

Research article (Multimedia Tools and Applications, 2016) · cited 72× · AI/ML
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Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations

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Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations is a scholarly article[1].

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  • Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations. Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerating-compute-intensive-medical-imaging-segmentation-algorithms-using-hybrid-cpu-gpu-implementations
MLA “Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerating-compute-intensive-medical-imaging-segmentation-algorithms-using-hybrid-cpu-gpu-implementations.
BibTeX @misc{4ortxyz_accelerating-compute-intensive-medical-imaging-segmentation-algorithms-using-hybrid-cpu-gpu-implementations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations}}, year = {2026}, url = {https://4ort.xyz/entity/accelerating-compute-intensive-medical-imaging-segmentation-algorithms-using-hybrid-cpu-gpu-implementations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations — https://4ort.xyz/entity/accelerating-compute-intensive-medical-imaging-segmentation-algorithms-using-hybrid-cpu-gpu-implementations (retrieved 2026-05-24)

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