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An artificial intelligence-based model exploiting H&E images to predict recurrence in negative sentinel lymph-node melanoma patients.

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Title: An artificial intelligence-based model exploiting H&E images to predict recurrence in negative sentinel lymph-node melanoma patients.
Authors: Comes, Maria Colomba1 (AUTHOR), Fucci, Livia2 (AUTHOR), Strippoli, Sabino3 (AUTHOR), Bove, Samantha1 (AUTHOR), Cazzato, Gerardo4 (AUTHOR), Colangiuli, Carmen1 (AUTHOR), Risi, Ivana De3 (AUTHOR), Roma, Ileana De3 (AUTHOR), Fanizzi, Annarita1 (AUTHOR), Mele, Fabio2 (AUTHOR), Ressa, Maurizio5 (AUTHOR), Saponaro, Concetta2 (AUTHOR), Soranno, Clara6 (AUTHOR), Tinelli, Rosita2 (AUTHOR), Guida, Michele3 (AUTHOR) micguida57@gmail.com, Zito, Alfredo2 (AUTHOR), Massafra, Raffaella1 (AUTHOR)
Source: Journal of Translational Medicine. 9/12/2024, Vol. 22 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: An artificial intelligence-based model exploiting H&E images to predict recurrence in negative sentinel lymph-node melanoma patients.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Translational+Medicine%22">Journal of Translational Medicine</searchLink>. 9/12/2024, Vol. 22 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179605822
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        Value: 10.1186/s12967-024-05629-2
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              Text: 9/12/2024
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