Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries.

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Title: Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries.
Authors: ElMoaqet, Hisham1, hisham.elmoaqet@gju.edu.jo, Qaddoura, Hamzeh1,2, Ryalat, Mutaz1,3, Almtireen, Natheer1,4, Abdulbaki Alshirbaji, Tamer2,3,5, Jalal, Nour Aldeen3,4,6, Neumuth, Thomas1,3, Moeller, Knut2,5,6
Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6121, 14p
Database: Applied Science & Technology Source
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  Data: Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2025, Vol. 15 Issue 11, p6121, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185868806
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        Value: 10.3390/app15116121
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 6121
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      – TitleFull: Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries.
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            NameFull: Abdulbaki Alshirbaji, Tamer
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              Text: Jun2025
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              Y: 2025
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