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Towards Enhanced Bladder Cancer Detection using explainable artificial intelligence with a hybrid feature engineering framework on biomedical images.

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Title: Towards Enhanced Bladder Cancer Detection using explainable artificial intelligence with a hybrid feature engineering framework on biomedical images.
Authors: Alshammri, Ghalib H.1, Obayya, Marwa2, Negm, Noha3, AlAqil, Mohammed A.4, Alshahrani, Mohammed Mujib5, Alsini, Raed6, Alsuhaibani, Reem7, Alhashmi, Asma A.1,8, Asmaalhashmi@nbu.edu.sa
Source: Engineering Applications of Artificial Intelligence; Mar2026:Part 3, Vol. 167, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191351528
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191351528
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      – Type: doi
        Value: 10.1016/j.engappai.2026.113729
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Towards Enhanced Bladder Cancer Detection using explainable artificial intelligence with a hybrid feature engineering framework on biomedical images.
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            NameFull: Alshahrani, Mohammed Mujib
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              Text: Mar2026:Part 3
              Type: published
              Y: 2026
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              Value: 167
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            – TitleFull: Engineering Applications of Artificial Intelligence
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