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A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification.

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Title: A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification.
Authors: Malik, Isra1, Yasmin, Mussarat1, Iqbal, Ahmed2, ahmedeqbal@gmail.com, Raza, Mudassar3, Chun, Chang-Jae4, Al-antari, Mugahed A.4, en.mualshz@sejong.ac.kr
Source: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 39, p86923-86954, 32p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification.
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  Data: <searchLink fieldCode="AU" term="%22Malik%2C+Isra%22">Malik, Isra</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yasmin%2C+Mussarat%22">Yasmin, Mussarat</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Iqbal%2C+Ahmed%22">Iqbal, Ahmed</searchLink><relatesTo>2</relatesTo>, <i>ahmedeqbal@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Raza%2C+Mudassar%22">Raza, Mudassar</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Chun%2C+Chang-Jae%22">Chun, Chang-Jae</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Al-antari%2C+Mugahed+A%2E%22">Al-antari, Mugahed A.</searchLink><relatesTo>4</relatesTo>, <i>en.mualshz@sejong.ac.kr</i>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11042-024-19661-3
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 86923
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      – TitleFull: A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification.
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            NameFull: Malik, Isra
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            NameFull: Yasmin, Mussarat
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            NameFull: Iqbal, Ahmed
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            NameFull: Chun, Chang-Jae
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            NameFull: Al-antari, Mugahed A.
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            – D: 28
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              Text: Nov2024
              Type: published
              Y: 2024
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