Domain Adaptation for Vitiligo Segmentation in Clinical Images: Addressing Uncertainty

This research addresses a critical need in medical image analysis: adapting AI models to variations in image data. By focusing on uncertainty, the study likely aims to improve the robustness and reliability of vitiligo segmentation in diverse clinical settings.

• •Addresses the challenge of adapting AI models for medical image analysis across different clinical settings.
• •Focuses on uncertainty, indicating a potential improvement in segmentation accuracy and reliability.
• •Applies domain adaptation techniques to the specific problem of vitiligo segmentation.