文件名称:SFLA-SEGMENTATION
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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 |