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A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.

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Title: A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.
Authors: Zaylaa, Amira J.1 (AUTHOR) a.zaylaa@bau.edu.lb, Yassine, Lama N.1,2 (AUTHOR), Kourtian, Silva2,3 (AUTHOR)
Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3874. 29p.
Database: Academic Search Ultimate
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  Data: A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jun2026, Vol. 26 Issue 12, p3874. 29p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194914273
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        Value: 10.3390/s26123874
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        Text: English
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      – TitleFull: A Multi-Criterion Selection of Hybrid Features in Mammographic Imaging for Early Computer-Assisted Sensing and Detection of Breast Cancer.
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              Text: Jun2026
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