Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study
20
Zitationen
6
Autoren
2023
Jahr
Abstract
This meta-analysis on DTA of ML algorithms for detecting ICH by assessing non-contrast CT-Scans shows the ML has an acceptable performance in diagnosing ICH. Using ResNet in ICH detection remains promising prediction was improved via training in an Architecture Learning Network (ALN).
Ähnliche Arbeiten
Guidelines for the Early Management of Patients With Acute Ischemic Stroke
2013 · 7.634 Zit.
Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
2013 · 5.267 Zit.
Frontotemporal lobar degeneration
1998 · 5.047 Zit.
Guidelines for the Management of Spontaneous Intracerebral Hemorrhage
2015 · 3.941 Zit.
Vascular Contributions to Cognitive Impairment and Dementia
2011 · 3.670 Zit.