论文标题
卷积神经网络自动检测局灶性皮质发育不良
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia
论文作者
论文摘要
局灶性皮质发育不良（FCD）是与皮质发育畸形相关的最常见的癫痫病变之一。但是，对FCD的准确检测依赖于放射科医生的专业精神，在许多情况下，可能会错过病变。在这项工作中，我们解决了在磁共振图像（MRI）上自动识别FCD的问题。对于此任务，我们改善了基于深度学习的FCD检测的最新方法，并将其应用于15名标记FCD患者的数据集。该模型导致在15个受试者中有11个成功检测到FCD。
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.
