Cargando…
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk
It is critical to accurately predict the rupture risk of an intracranial aneurysm (IA) for timely and appropriate treatment because the fatality rate after rupture is [Formula: see text]. Existing methods relying on morphological features (e.g., height-width ratio) measured manually by neuroradiolog...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140611/ https://www.ncbi.nlm.nih.gov/pubmed/37123440 http://dx.doi.org/10.1016/j.patter.2023.100709 |