Privacy-preserving continual learning methods for medical image classification: a comparative analysis

BACKGROUND: The implementation of deep learning models for medical image classification poses significant challenges, including gradual performance degradation and limited adaptability to new diseases. However, frequent retraining of models is unfeasible and raises concerns about healthcare privacy...

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Detalles Bibliográficos
Autores principales: Verma, Tanvi, Jin, Liyuan, Zhou, Jun, Huang, Jia, Tan, Mingrui, Choong, Benjamin Chen Ming, Tan, Ting Fang, Gao, Fei, Xu, Xinxing, Ting, Daniel S., Liu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461441/
https://www.ncbi.nlm.nih.gov/pubmed/37644987
http://dx.doi.org/10.3389/fmed.2023.1227515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461441/
https://www.ncbi.nlm.nih.gov/pubmed/37644987
http://dx.doi.org/10.3389/fmed.2023.1227515

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