Automatic localization and segmentation of focal cortical dysplasia in FLAIR‐negative patients using a convolutional neural network
Author:
Affiliation:
1. Department of Biomedical Engineering School of Life Science Beijing Institute of Technology Beijing China
2. Sixth Medical Center of PLA General Hospital Beijing China
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.12985
Reference33 articles.
1. Focal dysplasia of the cerebral cortex in epilepsy
2. Computational analysis in epilepsy neuroimaging: A survey of features and methods
3. The role of voxel-based morphometry in the detection of cortical dysplasia within the temporal pole in patients with intractable mesial temporal lobe epilepsy
4. Morphometric analysis on T1-weighted MRI complements visual MRI review in focal cortical dysplasia
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1. Development and prospective clinical validation of a convolutional neural network for automated detection and segmentation of focal cortical dysplasias;Epilepsy Research;2024-05
2. Matpr-Unet: A Multi Attention Two-Path Residual Unet for Focal Cortical Dysplasia Lesions Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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