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Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware
Research article (Medical Hypotheses, 2019) · cited 22× · AI/ML
Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware
Summary
Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware is a scholarly article[1].
Key Facts
Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware. Retrieved May 24, 2026, from https://4ort.xyz/entity/brain-tumor-segmentation-approach-based-on-the-extreme-learning-machine-and-significantly-fast-and-robust-fuzzy-c-means-
MLA“Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/brain-tumor-segmentation-approach-based-on-the-extreme-learning-machine-and-significantly-fast-and-robust-fuzzy-c-means-.
BibTeX@misc{4ortxyz_brain-tumor-segmentation-approach-based-on-the-extreme-learning-machine-and-significantly-fast-and-robust-fuzzy-c-means-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware}}, year = {2026}, url = {https://4ort.xyz/entity/brain-tumor-segmentation-approach-based-on-the-extreme-learning-machine-and-significantly-fast-and-robust-fuzzy-c-means-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware — https://4ort.xyz/entity/brain-tumor-segmentation-approach-based-on-the-extreme-learning-machine-and-significantly-fast-and-robust-fuzzy-c-means- (retrieved 2026-05-24)
