闡述了遷移學習方法及其在阿爾茨海默病早期診斷研究領域中的應用.首先,對遷移學習方法在阿爾茨海默病分類診斷研究中的應用進行了分析.接著,介紹了遷移學習相關的理論知識.然后,詳細介紹了基于遷移學習算法在阿爾茨海默病診斷研究中的進展,分別從基于樣本的遷移、基于特征的遷移和基于模型的遷移等三方面進行了分析.最后,提出了當前遷移學習在該領域存在的問題和挑戰(zhàn)以及未來發(fā)展趨勢.

【文章頁數(shù)】：10 頁

【文章目錄】：
0 Introduction
2 Transfer learning
3 Application oftransfer learning in AD/MCI diagnosis
    3.1 Application of instance-based transfer learning method in AD diagnosis
    3.2 Application of feature-based transfer learning method in AD diagnosis
    3.3 Application of model-based transfer learning method in AD diagnosis research
    3.4 Application analysis
4 Future challenges and perspectives
    4.1 Challenges and problems
    4.2 Perspectives
        (1) Similarity measure between source sample and target sample
        (2) Global difference Measurement of data Distribution between Source sample and Target sample



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