Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Model with Spatial Constraints

<p>Examples for extracting wrong-classification areas. From left to right: the brain images (without CSF), segmentation results for WM and GM using GMMD, ground truth without CSF, and wrong-classification regions.</p>

Mathematical Problems in Engineering

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Figure 3: Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Model with Spatial Constraints 