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Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability.

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Title: Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability.
Authors: Merabet, Asma1,2 (AUTHOR), Saighi, Asma1,2 (AUTHOR), Laboudi, Zakaria1,3 (AUTHOR), Abderraouf Ferradji, Mohamed4 (AUTHOR), Harous, Saad5 (AUTHOR), Wagdy Mohamed, Ali6,7,8 (AUTHOR), Mousavirad, Seyed Jalaleddin1,9 (AUTHOR) seyedjalaleddin.mousavirad@miun.se, Almazyad, Abdulaziz S.10 (AUTHOR)
Source: International Journal of Medical Informatics. Feb2026, Vol. 206, pN.PAG-N.PAG. 1p.
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 189508239
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Medical+Informatics%22">International Journal of Medical Informatics</searchLink>. Feb2026, Vol. 206, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189508239
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      – Type: doi
        Value: 10.1016/j.ijmedinf.2025.106167
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      – Code: eng
        Text: English
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      – TitleFull: Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability.
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              Text: Feb2026
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              Y: 2026
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