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Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.

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Title: Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.
Authors: Mei, Kun1 (AUTHOR), Feng, Zikang2 (AUTHOR), Liu, Hui2 (AUTHOR), Wang, Min1 (AUTHOR), Ce, Chao1 (AUTHOR), Yin, Shi2 (AUTHOR) yinshi2021@njtech.edu.cn, Zhang, Xiaoying1 (AUTHOR) zhangxy6689996@163.com, Wang, Bin1 (AUTHOR) wangbin1987@suda.edu.cn
Source: BMC Cancer. 4/10/2025, Vol. 25 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 184385697
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.
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  Data: <searchLink fieldCode="AR" term="%22Mei%2C+Kun%22">Mei, Kun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Zikang%22">Feng, Zikang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Hui%22">Liu, Hui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Min%22">Wang, Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ce%2C+Chao%22">Ce, Chao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Shi%22">Yin, Shi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yinshi2021@njtech.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoying%22">Zhang, Xiaoying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangxy6689996@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Bin%22">Wang, Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangbin1987@suda.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22BMC+Cancer%22">BMC Cancer</searchLink>. 4/10/2025, Vol. 25 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184385697
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1186/s12885-025-14027-w
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Titles:
      – TitleFull: Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.
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            NameFull: Mei, Kun
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            NameFull: Feng, Zikang
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            NameFull: Liu, Hui
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            NameFull: Wang, Min
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            NameFull: Ce, Chao
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            NameFull: Yin, Shi
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            NameFull: Zhang, Xiaoying
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            NameFull: Wang, Bin
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            – D: 10
              M: 04
              Text: 4/10/2025
              Type: published
              Y: 2025
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              Value: 25
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          Titles:
            – TitleFull: BMC Cancer
              Type: main
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