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Hybrid Deep Learning–Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma.

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Title: Hybrid Deep Learning–Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma.
Authors: Sun, Chao1 (AUTHOR), Sun, Jie2 (AUTHOR), Wei, Feng1 (AUTHOR), Yang, Shujie1,2 (AUTHOR), Ba, Weili1 (AUTHOR), Li, Yiming1 (AUTHOR) liyiming@umc.net.cn
Source: Diagnostics (2075-4418). Jun2026, Vol. 16 Issue 11, p1651. 13p.
Database: Academic Search Ultimate
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  Data: Hybrid Deep Learning–Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Jun2026, Vol. 16 Issue 11, p1651. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194800724
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      – Type: doi
        Value: 10.3390/diagnostics16111651
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      – Code: eng
        Text: English
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      – TitleFull: Hybrid Deep Learning–Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma.
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            NameFull: Sun, Chao
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            NameFull: Ba, Weili
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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