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

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

BackgroundThe 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 du...

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Bibliographic Details
Main Authors: Tanvi Verma, Liyuan Jin, Jun Zhou, Jia Huang, Mingrui Tan, Benjamin Chen Ming Choong, Ting Fang Tan, Fei Gao, Xinxing Xu, Daniel S. Ting, Yong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Medicine
Subjects:
continual learning
medical image classification
model deployment
optical coherence tomography
comparative analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1227515/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1227515/full

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