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A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection
Research article (Scientific Reports, 2025) · cited 41× · AI/ML
A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection
Summary
A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection is a scholarly article[1].
Key Facts
A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-unified-inception-u-net-hybrid-gravitational-optimization-model-uigo-incorporating-automated-medical-image-segme
MLA“A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-unified-inception-u-net-hybrid-gravitational-optimization-model-uigo-incorporating-automated-medical-image-segme.
BibTeX@misc{4ortxyz_a-novel-unified-inception-u-net-hybrid-gravitational-optimization-model-uigo-incorporating-automated-medical-image-segme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-unified-inception-u-net-hybrid-gravitational-optimization-model-uigo-incorporating-automated-medical-image-segme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection — https://4ort.xyz/entity/a-novel-unified-inception-u-net-hybrid-gravitational-optimization-model-uigo-incorporating-automated-medical-image-segme (retrieved 2026-05-24)
