Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.

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Bibliographic Details
Title:	Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.
Authors:	Ebert LC; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland. Lars.ebert@virtopsy.com., Heimer J; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland., Schweitzer W; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland., Sieberth T; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland., Leipner A; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland., Thali M; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland., Ampanozi G; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
Source:	Forensic science, medicine, and pathology [Forensic Sci Med Pathol] 2017 Dec; Vol. 13 (4), pp. 426-431. Date of Electronic Publication: 2017 Aug 18.
Publication Type:	Journal Article; Validation Study
Journal Info:	Publisher: Humana Press Country of Publication: United States NLM ID: 101236111 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-2891 (Electronic) Linking ISSN: 1547769X NLM ISO Abbreviation: Forensic Sci Med Pathol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1556-2891
DOI:	10.1007/s12024-017-9906-1