AINeutralarXiv – CS AI · 8h ago6/10
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Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines
A systematic review of self-supervised learning (SSL) in medical imaging analyzes 75 studies to establish that SSL effectiveness depends on alignment between pretext task design, imaging modality, and clinical objectives. The research provides practical guidelines showing contrastive methods excel at classification while generative approaches better support segmentation, with no universal optimal strategy.