Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification

Research article (Sensor Review, 2019) · cited 15× · AI/ML
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Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification

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Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-active-contour-model-and-deep-belief-network-based-approach-for-brain-tumor-segmentation-and-classification
MLA “Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-active-contour-model-and-deep-belief-network-based-approach-for-brain-tumor-segmentation-and-classification.
BibTeX @misc{4ortxyz_hybrid-active-contour-model-and-deep-belief-network-based-approach-for-brain-tumor-segmentation-and-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-active-contour-model-and-deep-belief-network-based-approach-for-brain-tumor-segmentation-and-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification — https://4ort.xyz/entity/hybrid-active-contour-model-and-deep-belief-network-based-approach-for-brain-tumor-segmentation-and-classification (retrieved 2026-05-24)

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