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Apr, 2023
跨领域疾病分类的小样本增量学习
Few-shot Class-incremental Learning for Cross-domain Disease Classification
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Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang
TL;DR
本篇研究旨在解决跨领域少样本增量学习问题，提出了一种跨域增强约束和跨域数据增强方法，并在 MedMNIST 数据集上进行实验，发现相较于其他类似方法，该方法的分类性能更好。
Abstract
The ability to incrementally learn new classes from
limited samples
is crucial to the development of
artificial intelligence
systems for real clinical application. Although existing
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