A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT Angiography

Background: Subarachnoid hemorrhage resulting from cerebral aneurysm rupture is a significant cause of morbidity and mortality. Early identification of aneurysms on Computed Tomography Angiography (CTA), a frequently used modality for this purpose, is crucial, and artificial intelligence (AI)-based...

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Detalles Bibliográficos
Autores principales: Bizjak, Žiga, Špiclin, Žiga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669551/
https://www.ncbi.nlm.nih.gov/pubmed/38001922
http://dx.doi.org/10.3390/biomedicines11112921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669551/
https://www.ncbi.nlm.nih.gov/pubmed/38001922
http://dx.doi.org/10.3390/biomedicines11112921

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