Development and External Validation of a Deep Learning Algorithm to Identify and Localize Subarachnoid Hemorrhage on CT Scans

BACKGROUND AND OBJECTIVES: In medical imaging, a limited number of trained deep learning algorithms have been externally validated and released publicly. We hypothesized that a deep learning algorithm can be trained to identify and localize subarachnoid hemorrhage (SAH) on head computed tomography (...

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Detalles Bibliográficos
Autores principales: Thanellas, Antonios, Peura, Heikki, Lavinto, Mikko, Ruokola, Tomi, Vieli, Moira, Staartjes, Victor E., Winklhofer, Sebastian, Serra, Carlo, Regli, Luca, Korja, Miikka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033159/
https://www.ncbi.nlm.nih.gov/pubmed/36639236
http://dx.doi.org/10.1212/WNL.0000000000201710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033159/
https://www.ncbi.nlm.nih.gov/pubmed/36639236
http://dx.doi.org/10.1212/WNL.0000000000201710

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