Dec 8, 2016 · This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure, ...
Jan 1, 2016 · This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure ...
Fuzzy C-Means based on Minkowski distance for liver CT image ...
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This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure, ...
This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure, ...
This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure, ...
Fuzzy C-Means based on Minkowski distance for liver CT image segmentation. https://doi.org/10.3233/idt-160266. Journal: Intelligent Decision Technologies ...
Ali A. et al. Fuzzy C-Means based on Minkowski distance for liver CT image segmentation // Intelligent Decision Technologies. 2016. Vol. 10. No. 4. pp. 393-406.
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Fuzzy C-Means based on Minkowski distance for liver CT image segmentation. Intell. Decis. Technol. Pub Date : 1900-01-01 DOI:10.3233/IDT-160266.
This paper presents a Fuzzy C-Means based image segmentation approach that benefits from the Minkowski distance as the dissimilarity measure, denoted as FCM-M, ...
Fuzzy c-means based on minkowski distance for liver ct image segmentation ... A generalized fuzzy k-nearest neighbor regression model based on Minkowski distance.