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Data Curation and Augmentation in Medical Imaging

Data Curation and Augmentation in Medical Imaging

In conjunction with
European Conference on Computer Vision 2026
September 8-13, 2026
Malmömässan Exhibition and Congress Center
Malmö, Sweden

Computer Vision Machine Learning Image Processing Deep Learning AI

Addresses creating high-quality training datasets for medical imaging AI through systematic curation, annotation, and augmentation strategies. Covers active learning, semi-supervised approaches, and synthetic data generation for clinical imaging applications. Aimed at the unglamorous but decisive part of medical AI, where annotation cost and data quality usually determine outcomes more than model choice does.

  For more information, visit the workshop website

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