Analysis and segmentation techniques of magnetic resonance images of the brain have been widely explored. Manual interpretation of the brain image is quite time-consuming and directly depends on the operator’s assessment. Thus, some automations were previously proposed, but recently, the study of automation using Deep Learning has gained prominence. In this context, we propose a model of neural networks with DC-UNet architecture for the segmentation of lesions in white matter in brain images.