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Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation

Research article (Applied Soft Computing, 2016) · cited 61× · AI/ML
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Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation

Summary

Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation is a scholarly article[1].

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  • Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation's instance of is recorded as scholarly article[2].

Related Entities

Ujjwal Maulik

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/rough-possibilistic-type-2-fuzzy-c-means-clustering-for-mr-brain-image-segmentation
MLA “Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rough-possibilistic-type-2-fuzzy-c-means-clustering-for-mr-brain-image-segmentation.
BibTeX @misc{4ortxyz_rough-possibilistic-type-2-fuzzy-c-means-clustering-for-mr-brain-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/rough-possibilistic-type-2-fuzzy-c-means-clustering-for-mr-brain-image-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation — https://4ort.xyz/entity/rough-possibilistic-type-2-fuzzy-c-means-clustering-for-mr-brain-image-segmentation (retrieved 2026-05-24)

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