Cargando…
Detecting Cortical Thickness Changes in Epileptogenic Lesions Using Machine Learning
Epilepsy is a neurological disorder characterized by abnormal brain activity. Epileptic patients suffer from unpredictable seizures, which may cause a loss of awareness. Seizures are considered drug resistant if treatment does not affect success. This leads practitioners to calculate the cortical th...
Autores principales: | Azzony, Sumayya, Moria, Kawthar, Alghamdi, Jamaan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046408/ https://www.ncbi.nlm.nih.gov/pubmed/36979297 http://dx.doi.org/10.3390/brainsci13030487 |
Ejemplares similares
-
An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI
por: Alyoubi, Esraa H., et al.
Publicado: (2023) -
Detection of Epileptogenic Cortical Malformations with Surface-Based MRI Morphometry
por: Thesen, Thomas, et al.
Publicado: (2011) -
Temporal encephaloceles and coexisting epileptogenic lesions
por: Tsalouchidou, Panagiota‐Eleni, et al.
Publicado: (2022) -
Pathomorphological Diagnostic Criteria for Focal Cortical Dysplasias and Other Common Epileptogenic Lesions—Review of the Literature
por: Metodiev, Dimitar, et al.
Publicado: (2023) -
Surgical resection of epileptogenic cortical dysplasia in precentral gyrus()
por: Xue, Hai, et al.
Publicado: (2013)