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Fig. 5 | BMC Medical Imaging

Fig. 5

From: A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures

Fig. 5

Automatic lesion classification algorithm performance for a group of 15 randomly selected patients. The automatic classification algorithm is compared with classification of the same lesions performed visually by an expert. Vertical axis shows the error percentage over total number of lesions. Group 1 (>40) = patient group 1 was composed by 5 patients with more than 40 lesions; Group 2 (>20 ≤ 40) = patient group 2 was composed by 5 patients with more than 20 and less than 40 lesions; Group 3 (≤20) = patient group 3 was composed by 5 patients with less than 20 lesions; Total = mean values between group 1, 2 and 3; C1 = lesion class 1; C2 = lesion class 2; C3 = lesion class 3; C4 = lesion class 4

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BMC Medical Imaging

ISSN: 1471-2342

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