Openal: An efficient deep active learning framework for open-set pathology image classification

A comprehensive survey on deep active learning in medical image analysis

H Wang, Q Jin, S Li, S Liu, M Wang, Z Song - Medical Image Analysis, 2024 - Elsevier
Deep learning has achieved widespread success in medical image analysis, leading to an
increasing demand for large-scale expert-annotated medical image datasets. Yet, the high …
被引用次数：2 相关文章 所有 5 个版本
[PDF] arxiv.org

A comprehensive survey on deep active learning and its applications in medical image analysis

H Wang, Q Jin, S Li, S Liu, M Wang, Z Song - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning has achieved widespread success in medical image analysis, leading to an
increasing demand for large-scale expert-annotated medical image datasets. Yet, the high …
被引用次数：4 相关文章 所有 2 个版本

Dynamic Attribute-guided Few-shot Open-set Network for medical image diagnosis

Y Luo, X Guo, L Liu, Y Yuan - Expert Systems with Applications, 2024 - Elsevier
The scarcity of data on rare diseases poses a significant challenge to the development of
diagnostic systems. While few-shot learning (FSL) offers promise in low-data regimes, it …
相关文章 所有 2 个版本