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Automated Epilepsy Classification from Structural MRI via VFL Using 3D CNN

Epilepsy is defined as a common neurological condition typified by aberrant neuronal firing. For the non-invasive identification of structural abnormalities such as hippocampal sclerosis or focal cortical dysplasia (FCD), magnetic resonance imaging (MRI) is essential, and its integration with machine learning techniques holds significant potential for automated diagnosis. The research used 3D structural MRI data from 170 people in this investigation, including 85 patients with drug-resistant focal epilepsy caused by focal cortical dysplasia (FCD) type II and 85 healthy controls who were matched for age and sex. This research proposes a comparative analysis of various CNN architectures, including 1D CNN, 2D CNN, and 3D CNN. Using whole-brain volumetric analysis, the proposed 3D CNN pipeline achieved a high classification accuracy of …

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