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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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