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A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging.

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Title: A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging.
Authors: Hamlomo, Sisipho1,2, s.hamlomo@ru.ac.za, Atemkeng, Marcellin1, m.atemkeng@ru.ac.za, Brima, Yusuf3, Nunhokee, Chuneeta4,5,6, Baxter, Jeremy2
Source: Neural Computing & Applications; Jun2025, Vol. 37 Issue 16, p9481-9536, 56p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging.
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  Data: <searchLink fieldCode="AU" term="%22Hamlomo%2C+Sisipho%22">Hamlomo, Sisipho</searchLink><relatesTo>1,2</relatesTo>, <i>s.hamlomo@ru.ac.za</i><br /><searchLink fieldCode="AU" term="%22Atemkeng%2C+Marcellin%22">Atemkeng, Marcellin</searchLink><relatesTo>1</relatesTo>, <i>m.atemkeng@ru.ac.za</i><br /><searchLink fieldCode="AU" term="%22Brima%2C+Yusuf%22">Brima, Yusuf</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Nunhokee%2C+Chuneeta%22">Nunhokee, Chuneeta</searchLink><relatesTo>4,5,6</relatesTo><br /><searchLink fieldCode="AU" term="%22Baxter%2C+Jeremy%22">Baxter, Jeremy</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jun2025, Vol. 37 Issue 16, p9481-9536, 56p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185447022
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      – Type: doi
        Value: 10.1007/s00521-025-11055-2
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      – Code: eng
        Text: English
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        PageCount: 56
        StartPage: 9481
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      – TitleFull: A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging.
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            NameFull: Atemkeng, Marcellin
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            NameFull: Brima, Yusuf
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 37
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