Convolutional neural networks for automatic detection of Focal Cortical Dysplasia

Autor:	Aliev, Ruslan, Kondrateva, Ekaterina, Sharaev, Maxim, Bronov, Oleg, Marinets, Alexey, Subbotin, Sergey, Bernstein, Alexander, Burnaev, Evgeny
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: MRI, Deep learning, CNN, computer vision, medical detection, epilepsy, FCD, focal cortical dysplasia
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.10373 Zobrazit plný text záznamu View this record from Arxiv