Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation
arXiv:2607.15605v1 Announce Type: new Abstract: Focal cortical dysplasia (FCD) is one of the leading structural causes of drug-resistant focal epilepsy, yet its subtle and heterogeneous imaging characteristics make accurate identification and delineation challenging on conventional magnetic resonance imaging (MRI). Although T1-weighted (T1w) and fluid-attenuated inversion recovery (FLAIR) images are routinely acquired for presurgical evaluation, the contribution of different MRI representations ...
arXiv cs.CV
·Soumen Ghosh, John Phamnguyen, Amit Soni Arya, Subhojit Mandal, Tilottama Goswami, Rajat Vashistha
·
// relacionados
Leia também
Blog
Intentional Electromagnetic Interference Attacks on Facial Recognition
Blog
Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction
Blog
Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection
Blog