Convolutional neural networks for automatic detection of Focal Cortical Dysplasia

• URL: http://arxiv.org/abs/2010.10373v1
• Date: Tue, 20 Oct 2020 15:30:37 GMT
• Title: Convolutional neural networks for automatic detection of Focal Cortical Dysplasia
• Authors: Ruslan Aliev and Ekaterina Kondrateva and Maxim Sharaev and Oleg Bronov and Alexey Marinets and Sergey Subbotin and Alexander Bernstein and Evgeny Burnaev
• Abstract summary: Focal cortical dysplasia (FCD) is one of the most common epileptogenic lesions associated with cortical development malformations. Recent methods of Deep Learning-based FCD detection 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.
• Score: 59.034649152318224
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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