Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury

INTRODUCTION: Radiological assessment is necessary to diagnose spontaneous intracerebral hemorrhage (ICH) and traumatic brain injury intracranial hemorrhage (TBI-bleed). Artificial intelligence (AI) deep learning tools provide a means for decision support. This study evaluates the hemorrhage segment...

Descripción completa

Detalles Bibliográficos
Autores principales: MacIntosh, Bradley J., Liu, Qinghui, Schellhorn, Till, Beyer, Mona K., Groote, Inge Rasmus, Morberg, Pål C., Poulin, Joshua M., Selseth, Maiken N., Bakke, Ragnhild C., Naqvi, Aina, Hillal, Amir, Ullberg, Teresa, Wassélius, Johan, Rønning, Ole M., Selnes, Per, Kristoffersen, Espen S., Emblem, Kyrre Eeg, Skogen, Karoline, Sandset, Else C., Bjørnerud, Atle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568013/
https://www.ncbi.nlm.nih.gov/pubmed/37840934
http://dx.doi.org/10.3389/fneur.2023.1244672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568013/
https://www.ncbi.nlm.nih.gov/pubmed/37840934
http://dx.doi.org/10.3389/fneur.2023.1244672

Ejemplares similares