Dynamic Swin-UNet: a transformer-based adaptive framework for precise and efficient Alzheimer’s disease brain segmentation

Key Points

• The adaptive framework improves brain segmentation accuracy for Alzheimer's disease, determining exact boundaries.
• Key performance metrics show a significant enhancement in segmentation precision across varied datasets.
• Dynamic Swin-UNet utilizes a transformer-based approach for effective and precise brain segmentation.
• This method may enable better diagnosis and monitoring of Alzheimer's disease, highlighting the need for further validation.