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Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study.

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Title: Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study.
Authors: Liao, Li-Jen1,2,3 (AUTHOR) dtent87@gmail.com, Cheng, Ping-Chia1 (AUTHOR), Chan, Feng-Tsan4 (AUTHOR) ftchan@ntu.edu.tw
Source: Diagnostics (2075-4418). Aug2024, Vol. 14 Issue 16, p1761. 7p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Aug2024, Vol. 14 Issue 16, p1761. 7p.
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        Value: 10.3390/diagnostics14161761
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      – Code: eng
        Text: English
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      – TitleFull: Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study.
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            NameFull: Liao, Li-Jen
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            NameFull: Cheng, Ping-Chia
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              Text: Aug2024
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              Value: 14
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              Value: 16
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