Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.

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Title: Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.
Authors: Förnvik, Daniel1,2 (AUTHOR) daniel.fornvik@med.lu.se, Borgquist, Signe1,3,4 (AUTHOR) signe.borgquist@auh.rm.dk, Larsson, Måns1,5 (AUTHOR) mans@eigenvision.se, Zackrisson, Sophia1,6 (AUTHOR) sophia.zackrisson@med.lu.se, Skarping, Ida1,4,7 (AUTHOR) ida.skarping@med.lu.se
Source: European Journal of Radiology. Sep2024, Vol. 178, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
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An: 179035820
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  Data: Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179035820
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ejrad.2024.111624
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.
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            NameFull: Förnvik, Daniel
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            NameFull: Borgquist, Signe
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            NameFull: Larsson, Måns
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            NameFull: Zackrisson, Sophia
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            NameFull: Skarping, Ida
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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              Value: 178
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