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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

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Title: Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.
Authors: Sun, Qian1,2 (AUTHOR), Yu, Lei3 (AUTHOR), Song, Zhongquan1 (AUTHOR), Wang, Can2 (AUTHOR), Li, Wei2 (AUTHOR), Chen, Wang3 (AUTHOR), Xu, Juan2 (AUTHOR) xujuanycyy@163.com, Han, Shuhua1 (AUTHOR) hanshuhua0922@126.com
Source: Scientific Reports. 8/11/2025, Vol. 15 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.
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        Value: 10.1038/s41598-025-13447-9
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      – TitleFull: Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.
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              Text: 8/11/2025
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