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Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.

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Title: Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.
Authors: Zhao, Ze-Rui1 (AUTHOR), Yu, Ying-Hong2 (AUTHOR), Lin, Zhi-Chao3 (AUTHOR), Ma, De-Hua4 (AUTHOR), Lin, Yao-Bin1 (AUTHOR), Hu, Jian5 (AUTHOR), Luo, Qing-Quan6 (AUTHOR), Li, Gao-Feng7 (AUTHOR), Chen, Chun8 (AUTHOR), Yang, Yu-Lun9 (AUTHOR), Yang, Jian-Cheng2,10,11 (AUTHOR) jekyll4168@sjtu.edu.cn, Lin, Yong-Bin1 (AUTHOR) linyb@sysucc.org.cn, Long, Hao1 (AUTHOR) longhao@sysucc.org.cn
Source: Journal of Cancer Research & Clinical Oncology. Aug2023, Vol. 149 Issue 10, p7759-7765. 7p.
Database: Academic Search Ultimate
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An: 167362197
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  Data: Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Ze-Rui%22">Zhao, Ze-Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Ying-Hong%22">Yu, Ying-Hong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Zhi-Chao%22">Lin, Zhi-Chao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+De-Hua%22">Ma, De-Hua</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Yao-Bin%22">Lin, Yao-Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Jian%22">Hu, Jian</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Qing-Quan%22">Luo, Qing-Quan</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Gao-Feng%22">Li, Gao-Feng</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Chun%22">Chen, Chun</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Yu-Lun%22">Yang, Yu-Lun</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Jian-Cheng%22">Yang, Jian-Cheng</searchLink><relatesTo>2,10,11</relatesTo> (AUTHOR)<i> jekyll4168@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Yong-Bin%22">Lin, Yong-Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> linyb@sysucc.org.cn</i><br /><searchLink fieldCode="AR" term="%22Long%2C+Hao%22">Long, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> longhao@sysucc.org.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cancer+Research+%26+Clinical+Oncology%22">Journal of Cancer Research & Clinical Oncology</searchLink>. Aug2023, Vol. 149 Issue 10, p7759-7765. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=167362197
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      – Type: doi
        Value: 10.1007/s00432-023-04713-2
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 7759
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      – TitleFull: Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.
        Type: main
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            NameFull: Zhao, Ze-Rui
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            NameFull: Yu, Ying-Hong
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            – D: 15
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
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