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R. Saian

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Open access Oct 2026

ACM for segmenting intensity inhomogeneity images corrupted by a mixture of AGMG noise

This is the first study to formulate an ACM for segmenting intensity inhomogeneity images corrupted by AGMG noise, and the proposed model proves significantly more effective for the segmentation of images degraded by intensity inhomogeneity and mixed AGMG noise.

N. Ismail, A. K. Jumaat, R. Saian et al. · 0 citations

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