Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
IntroductionRadiological 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 segmentat...
Main Authors: | Bradley J. MacIntosh, Qinghui Liu, Till Schellhorn, Mona K. Beyer, Inge Rasmus Groote, Pål C. Morberg, Joshua M. Poulin, Maiken N. Selseth, Ragnhild C. Bakke, Aina Naqvi, Amir Hillal, Teresa Ullberg, Johan Wassélius, Ole M. Rønning, Per Selnes, Espen S. Kristoffersen, Kyrre Eeg Emblem, Karoline Skogen, Else C. Sandset, Atle Bjørnerud |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-09-01
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Series: | Frontiers in Neurology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1244672/full |
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