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Analysis

This research explores a novel method for pre-training medical image models, leveraging self-supervised learning techniques to improve performance. The use of inversion-driven continual learning is a promising approach to enhance model generalizability and efficiency within the domain of medical imaging.
Reference

InvCoSS utilizes inversion-driven continual self-supervised learning.