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Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.

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Title: Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.
Authors: Peters, Jim1 (AUTHOR) Jim.Peters@radboudumc.nl, van Leeuwen, Merle M.2 (AUTHOR), Moriakov, Nikita3,4 (AUTHOR), van Dijck, Jos A. A. M.1 (AUTHOR), Mann, Ritse M.4,5 (AUTHOR), Teuwen, Jonas3 (AUTHOR), Lips, Esther H.2 (AUTHOR), van den Belt-Dusebout, Alexandra W.2 (AUTHOR), Wesseling, Jelle2,6,7 (AUTHOR), Penning de Vries, Bas B. L.8 (AUTHOR), Verboom, Sarah5 (AUTHOR), Karssemeijer, Nico5 (AUTHOR), Elias, Sjoerd G.8 (AUTHOR), Broeders, Mireille J. M.1,9 (AUTHOR)
Source: British Journal of Cancer. Jun2025, Vol. 132 Issue 11, p1040-1049. 10p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 185469452
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.
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  Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Cancer%22">British Journal of Cancer</searchLink>. Jun2025, Vol. 132 Issue 11, p1040-1049. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185469452
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        Value: 10.1038/s41416-025-02995-6
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        Text: English
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              Text: Jun2025
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