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Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images

Research article (International Journal of Biomedical Imaging, 2015) · cited 58× · AI/ML
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Summary

Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images is a scholarly article[1].

Key Facts

  • Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Retrieved October 15, 2026, from https://4ort.xyz/entity/classifying-dementia-using-local-binary-patterns-from-different-regions-in-magnetic-resonance-images
MLA “Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 15 Oct. 2026, https://4ort.xyz/entity/classifying-dementia-using-local-binary-patterns-from-different-regions-in-magnetic-resonance-images.
BibTeX @misc{4ortxyz_classifying-dementia-using-local-binary-patterns-from-different-regions-in-magnetic-resonance-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images}}, year = {2026}, url = {https://4ort.xyz/entity/classifying-dementia-using-local-binary-patterns-from-different-regions-in-magnetic-resonance-images}, note = {Accessed: 2026-10-15}}
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