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Fig. 2. Axial T2-weighted MR brain images: (a) normal brain; (b) abnormal brain (http://med.harvard.edu/AANLIB/).

Figure 2 Axial T2-weighted MR brain images: (a) normal brain; (b) abnormal brain (http://med.harvard.edu/AANLIB/).

Related Figures (4)

Fig. 1. T2-weighted, an axial MR brain image (http://med.harvard.edu/AAN LIB/).
Fig. 1. T2-weighted, an axial MR brain image (http://med.harvard.edu/AAN LIB/).
Fig. 3. Wavelet transform of an image Yup to level two. ¥! and Y? are first and second level approximation components, respectively. Y, Y! and Y} are first level detail components. Y?, Y? and Y; are second level detail components.
Fig. 3. Wavelet transform of an image Yup to level two. ¥! and Y? are first and second level approximation components, respectively. Y, Y! and Y} are first level detail components. Y?, Y? and Y; are second level detail components.
Classification results from support vector machine Table 2
Classification results from support vector machine Table 2
Classification results from self-organizing maps brain and 46 are of abnormal brain. Experimentation was done with varying levels of wavelet decomposition. The final categories obtained after classification by a self-organizing map depend on the order in which the input vectors are presented to the network. Hence we have randomized the order of presentation of the input images. Our experiment was repeated, each time with a different order of input presentation, and we have obtained the same classification percentage and normal—abnormal categories in all the experiments.
Classification results from self-organizing maps brain and 46 are of abnormal brain. Experimentation was done with varying levels of wavelet decomposition. The final categories obtained after classification by a self-organizing map depend on the order in which the input vectors are presented to the network. Hence we have randomized the order of presentation of the input images. Our experiment was repeated, each time with a different order of input presentation, and we have obtained the same classification percentage and normal—abnormal categories in all the experiments.
Related topics:
Biomedical EngineeringBrain ImagingBiomedical Signal ProcessingMedical BiotechnologySelf Organized MapMagnetic resonance image
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