Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.

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第一作者： Natasha,Ironside

第一单位： From the Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA (N.I., C.-J.C.).

作者： Natasha,Ironside ^[1] ; Ching-Jen,Chen ^[1] ; Simukayi,Mutasa ^[2] ; Justin L,Sim ^[3] ; Saurabh,Marfatia ^[2] ; David,Roh ^[4] ; Dale,Ding ^[5] ; Stephan A,Mayer ^[6] ; Angela,Lignelli ^[2] ; Edward Sander,Connolly ^[3]

作者单位： From the Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA (N.I., C.-J.C.). ^[1] Department of Radiology (S. Mutasa, S. Marfatia, A.L.). ^[2] Department of Neurological Surgery (J.L.S., E.S.C.). ^[3] Department of Neurology, Columbia University Irving Medical Center, New York, NY (D.R.). ^[4] Department of Neurological Surgery. University of Louisville School of Medicine, Louisville, KY (D.D.). ^[5] Department of Neurology, Henry Ford Health System, Detroit, MI (S.A.M.). ^[6]

关键词 algorithm cerebral hemorrhage deep learning hematoma tomography

主题词脑出血(Cerebral Hemorrhage);血肿(Hematoma);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted)

DOI 10.1161/STROKEAHA.119.026561

PMID 31735138

发布时间 2020-04-08

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