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Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.

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Title: Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
Authors: Moassefi, Mana1, Moassefi.mana@Mayo.edu, Rouzrokh, Pouria1,2, Conte, Gian Marco1, Vahdati, Sanaz1, Fu, Tianyuan3, Tahmasebi, Aylin4, Younis, Mira5, Farahani, Keyvan6, Gentili, Amilcare7, Kline, Timothy8, Kitamura, Felipe C.9, Huo, Yuankai10, Kuanar, Shiba1, Younis, Khaled11, Erickson, Bradley J.1, Faghani, Shahriar1, Faghani.shahriar@mayo.edu
Source: Journal of Digital Imaging; Oct2023, Vol. 36 Issue 5, p2306-2312, 7p, 2 Diagrams, 4 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 171950875
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Oct2023, Vol. 36 Issue 5, p2306-2312, 7p, 2 Diagrams, 4 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171950875
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        Value: 10.1007/s10278-023-00870-5
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        Text: English
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        PageCount: 7
        StartPage: 2306
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              Text: Oct2023
              Type: published
              Y: 2023
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