ZechariahNet: A Novel Method of MS Lesion Diagnosis Through MRI Images by the Combination of C-LSTM and 3D CNN Algorithms.

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Title: ZechariahNet: A Novel Method of MS Lesion Diagnosis Through MRI Images by the Combination of C-LSTM and 3D CNN Algorithms.
Authors: Dehghanpour, Mahshid1 (AUTHOR), Fateh, Mansoor1,2 (AUTHOR) z.mohammadpoory@shahroodut.ac.ir, Mohammadpoory, Zeynab2,3 (AUTHOR), Ferdowsi, Saideh1,3 (AUTHOR) s.ferdowsi@essex.ac.uk
Source: Algorithms. Jan2026, Vol. 19 Issue 1, p72. 18p.
Database: Academic Search Ultimate
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  Data: ZechariahNet: A Novel Method of MS Lesion Diagnosis Through MRI Images by the Combination of C-LSTM and 3D CNN Algorithms.
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Jan2026, Vol. 19 Issue 1, p72. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191172106
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        Value: 10.3390/a19010072
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      – Code: eng
        Text: English
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      – TitleFull: ZechariahNet: A Novel Method of MS Lesion Diagnosis Through MRI Images by the Combination of C-LSTM and 3D CNN Algorithms.
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            NameFull: Dehghanpour, Mahshid
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            NameFull: Fateh, Mansoor
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            NameFull: Mohammadpoory, Zeynab
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              Text: Jan2026
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              Y: 2026
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