Deep Learning-Based Detection of Focal Cortical Dysplasia in Children: External Validation of the MELD Graph and 3D-nnUNet pipelines

This repository contains the materials associated with the study “Deep Learning-Based Detection of Focal Cortical Dysplasia in Children: External Validation of the MELD-Graph and 3D-nnUNet Pipelines.” The project focuses on the external validation of two automated deep learning pipelines for focal cortical dysplasia (FCD) detection in a pediatric cohort, with emphasis on generalizability, lesion detection performance, and patient-level classification.