Deep networks in identifying CT brain hemorrhage
Author:
Affiliation:
1. Department of Biomedical Engineering, Near East University, Near East Boulevard, TRNC, Nicosia, Turkey
2. The Gordon Center for Medical Imaging, Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference40 articles.
1. Intelligent brain hemorrhage diagnosis using artificial neural networks;Balasooriya;Business Engineering and Industrial Applications Colloquium (BEIAC),2012
2. Neurocritical care for intracranial haemorrhage: A systematic review of recent studies;Badenes;BJA: British Journal of Anaesthesia,2015
3. Morgenstern L.B. , Hemphill J.C. , Anderson C. , Becker K. , Broderick J.P. , Connolly E.S. , Mitchell P.H.,, Guidelines for the management of spontaneous intracerebral hemorrhage. A guideline for healthcare professionals from the American Heart Association/American Stroke Association, Stroke (2010).
4. Emergency imaging of intracerebral haemorrhage;Alobeidi;New Insights in Intracerebral Hemorrhage,2016
5. Diagnosis and classification of brain hemorrhage using CAD system;Sridevi;Indian Journal of Scientific Research,2015
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