Convolutional Neural Networks for Automatic Detection of Focal Cortical Dysplasia

Focal cortical dysplasia (FCD) is one of the most common epileptogenic lesions associated with development malformations. However, accurate detection FCD relies on radiologist professionalism, and in many cases, lesion could be missed. In this work, we solve problem automatic identification magnetic resonance images (MRI). For task, improve recent methods Deep Learning-based apply it for a dataset 15 labeled patients. The model results successful 11 out subjects.