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

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Title: Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.
Authors: Ebert, Lars1 Lars.ebert@virtopsy.com, Heimer, Jakob1, Schweitzer, Wolf1, Sieberth, Till1, Leipner, Anja1, Thali, Michael1, Ampanozi, Garyfalia1
Source: Forensic Science, Medicine & Pathology. Dec2017, Vol. 13 Issue 4, p426-431. 6p.
Database: Academic Search Ultimate
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  Data: Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.
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  Data: <searchLink fieldCode="JN" term="%22Forensic+Science%2C+Medicine+%26+Pathology%22">Forensic Science, Medicine & Pathology</searchLink>. Dec2017, Vol. 13 Issue 4, p426-431. 6p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=126258813
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      – Type: doi
        Value: 10.1007/s12024-017-9906-1
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      – Code: eng
        Text: English
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        StartPage: 426
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      – TitleFull: Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.
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            NameFull: Ebert, Lars
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            – D: 01
              M: 12
              Text: Dec2017
              Type: published
              Y: 2017
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