Outputs (2)

MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification (2023)
Journal Article
Lu, L., Cui, X., Tan, Z., & Wu, Y. (2024). MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(4), 725-736. https://doi.org/10.1109/TCBB.2023.3284846

In the medical research domain, limited data and high annotation costs have made efficient classification under few-shot conditions a popular research area. This paper proposes a meta-learning framework, termed MedOptNet, for few-shot medical image c... Read More about MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification.

Security for Cyber-Physical Systems in Healthcare (2017)
Book Chapter
Saleem, K., Tan, Z., & Buchanan, W. (2017). Security for Cyber-Physical Systems in Healthcare. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare (233-251). Springer. https://doi.org/10.1007/978-3-319-47617-9_12

The great leap forward of cyber-physical systems has made provision for future personalized medicine. However, these systems are prone to cyber attacks. To provide patients with secure and reliable healthcare experience, the security issues of cyber-... Read More about Security for Cyber-Physical Systems in Healthcare.