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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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第一作者: Asma,Merabet
第一单位: Artificial Intelligence and Autonomous Things Laboratory (LAIOA), University of Oum El Bouaghi, Oum El Bouaghi, 04000, Algeria; Department of Mathematics and Computer Sciences, University of Oum El Bouaghi, Oum El Bouaghi, 04000, Algeria.
作者单位: Artificial Intelligence and Autonomous Things Laboratory (LAIOA), University of Oum El Bouaghi, Oum El Bouaghi, 04000, Algeria; Department of Mathematics and Computer Sciences, University of Oum El Bouaghi, Oum El Bouaghi, 04000, Algeria. [1] Artificial Intelligence and Autonomous Things Laboratory (LAIOA), University of Oum El Bouaghi, Oum El Bouaghi, 04000, Algeria; Department of Networks and Telecommunications, University of Oum El Bouaghi, Oum El Bouaghi, Algeria. [2] Artificial Intelligence Laboratory (AI-Lab), Department of Computer Science, Faculty of Sciences, Ferhat Abbas University Setif-1, Setif, Algeria. [3] University of Sharjah, Sharjah, United Arab Emirates. [4] School of Business, University of Science and Technology, Zewail City of Science and Technology, 6th of October City, Giza 12588, Egypt; Center of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, 10330, Thailand; Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan. [5] Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden. Electronic address: seyedjalaleddin.mousavirad@miun.se. [6] Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia. [7]
DOI 10.1016/j.ijmedinf.2025.106167
PMID 41232395
发布时间 2026-02-23
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International journal of medical informatics

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