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Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.

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Bibliographic Details
Title: Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.
Authors: Sanghani, Parita1, Beng Ti Ang2, King, Nicolas Kon Kam2, Ren, Hongliang1 ren@nus.edu.sg
Source: Surgical Oncology. Dec2018, Vol. 27 Issue 4, p709-714. 6p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="AR" term="%22Sanghani%2C+Parita%22">Sanghani, Parita</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Beng+Ti+Ang%22">Beng Ti Ang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22King%2C+Nicolas+Kon+Kam%22">King, Nicolas Kon Kam</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ren%2C+Hongliang%22">Ren, Hongliang</searchLink><relatesTo>1</relatesTo><i> ren@nus.edu.sg</i>
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  Data: <searchLink fieldCode="JN" term="%22Surgical+Oncology%22">Surgical Oncology</searchLink>. Dec2018, Vol. 27 Issue 4, p709-714. 6p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=133051033
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.suronc.2018.09.002
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 709
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      – TitleFull: Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.
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            NameFull: Sanghani, Parita
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            NameFull: Beng Ti Ang
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            NameFull: King, Nicolas Kon Kam
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            NameFull: Ren, Hongliang
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            – D: 01
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              Text: Dec2018
              Type: published
              Y: 2018
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              Value: 27
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            – TitleFull: Surgical Oncology
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