An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images

Research article (Applied Soft Computing, 2017) · cited 62× · AI/ML
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An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images

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An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-automated-hybrid-approach-using-clustering-and-nature-inspired-optimization-technique-for-improved-tumor-and-tissue-s
MLA “An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-automated-hybrid-approach-using-clustering-and-nature-inspired-optimization-technique-for-improved-tumor-and-tissue-s.
BibTeX @misc{4ortxyz_an-automated-hybrid-approach-using-clustering-and-nature-inspired-optimization-technique-for-improved-tumor-and-tissue-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images}}, year = {2026}, url = {https://4ort.xyz/entity/an-automated-hybrid-approach-using-clustering-and-nature-inspired-optimization-technique-for-improved-tumor-and-tissue-s}, note = {Accessed: 2026-05-24}}
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