  Medical image analysis using deep learning frameworks has advanced healthcare
by automating complex tasks, but many existing frameworks lack flexibility,
modularity, and user-friendliness. To address these challenges, we introduce
Yucca, an open-source AI framework available at
https://github.com/Sllambias/yucca, designed specifically for medical imaging
applications and built on PyTorch and PyTorch Lightning. Yucca features a
three-tiered architecture: Functional, Modules, and Pipeline, providing a
comprehensive and customizable solution. Evaluated across diverse tasks such as
cerebral microbleeds detection, white matter hyperintensity segmentation, and
hippocampus segmentation, Yucca achieves state-of-the-art results,
demonstrating its robustness and versatility. Yucca offers a powerful,
flexible, and user-friendly platform for medical image analysis, inviting
community contributions to advance its capabilities and impact.
