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Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI.

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第一作者： Nabil M,AbdelAziz

第一单位： Information System Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt.

作者： Nabil M,AbdelAziz ^[1] ; Wael,Said ^[2] ; Mohamed M,AbdelHafeez ^[1] ; Asmaa H,Ali ^[1]

作者单位： Information System Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt. ^[1] Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt. ^[2]

关键词 Explainable Artificial Intelligence (XAI)Squeeze-and-Excitation (SE block)Squeeze-and-Excitation Convolutional Neural Network with Random Forest (SECNN-RF)explainability analysis saliency map

DOI 10.3389/frai.2024.1456069

PMID 39286548

发布时间 2024-09-18

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Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI.

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Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI.

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