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CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.

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Title: CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
Authors: Taguchi, Narumi1 (AUTHOR), Oda, Seitaro1 (AUTHOR) seisei0430@nifty.com, Yokota, Yasuhiro1 (AUTHOR), Yamamura, Sadahiro2 (AUTHOR), Imuta, Masanori1 (AUTHOR), Tsuchigame, Tadatoshi3 (AUTHOR), Nagayama, Yasunori1 (AUTHOR), Kidoh, Masafumi1 (AUTHOR), Nakaura, Takeshi1 (AUTHOR), Shiraishi, Shinya1 (AUTHOR), Funama, Yoshinori4 (AUTHOR), Shinriki, Satoru5 (AUTHOR), Miyamoto, Yuji6 (AUTHOR), Baba, Hideo6 (AUTHOR), Yamashita, Yasuyuki1 (AUTHOR)
Source: European Journal of Radiology. Sep2019, Vol. 118, p38-43. 6p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 138128285
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Radiology%22">European Journal of Radiology</searchLink>. Sep2019, Vol. 118, p38-43. 6p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=138128285
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ejrad.2019.06.028
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 38
    Titles:
      – TitleFull: CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
        Type: main
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            NameFull: Taguchi, Narumi
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            – D: 01
              M: 09
              Text: Sep2019
              Type: published
              Y: 2019
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            – Type: issn-print
              Value: 0720048X
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            – Type: volume
              Value: 118
          Titles:
            – TitleFull: European Journal of Radiology
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