SFLA-SEGMENTATION this document describes an algor

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this document describes an algorithm of MRI thresholding using a meta heuristic SFLA with a new fitness function

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Table 4 Selected thresholds and computation times of GA and MSFLA.docx
Table 5 Computation times of ACO (H. He and al	2001)	ACO (L. Myung-Eun and al	2009) and MSFLA..docx
Table 6 Mean deviations of Dice coefficients of a volume weighted average (WA) between manual thresholding and hard thresholdings obtained by RiCE and MSFLA.docx
COVER LETTER.docx
Fig. 1. Comparison of hard segmentations of normal IBSR subject	(a) original acquisition	(b) segmentation by GA (K. Hammouche and al	2010)	(c) segmentation by MSFLA..tif
Fig. 2. Comparisons on convergence speed	(a) Fitness trace of GA (K. Hammouche and al	2010); (b) fitness trace of MSFLA..tif
Fig. 3. Comparison of hard segmentations of kull-stripped T-weighted image	(a) original acquisition	(b) segmentation by Ant Colony (H. He and al	2001)	(c) segmentation by Ant Colony (L. Myung-Eun and al	2009)	(d) segmentation by MSFLA..tif
Fig. 4. Comparison of hard segmentations of normal IBSR subject	(a) T1-SPGR acquisition	(b) manual segmentation	(c) segmentation by RiCE (S. Roy and al	2012)	(d) segmentation by MSFLA..tif
Manuscript Computational Intelligence.docx
Table 1 Pseudo-code of decoding of population.docx
Table 2 Pseudo-code of the fitness function.docx
Table 3 The parameters used in the MSFLA algorithm.docx

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