Convolutional neural networks for automatic detection of Focal Cortical Dysplasia

Ruslan Aliev1Ekaterina Kondrateva1Oleg Bronov2Alexey Marinets2Sergey Subbotin2Maxim Sharaev1Alexander Bernstein1Evgeny Burnaev1

11, Skolkovo Institute of Science and Technology22

The 9th International Conference on Analysis of Images, Social Networks and Texts (AIST2020)


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



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