InvCoSS: New Approach to Medical Image Pre-training Using Self-Supervised Learning

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.

• •Focuses on self-supervised learning for medical image pre-training.
• •Employs an inversion-driven continual learning approach.
• •Aims to enhance model generalizability and efficiency.