Iterative Refinement Strategy for Automated Facial Landmark Labeling in Medical Imaging

This paper presents an iterative refinement strategy for automated data labeling to enhance the accuracy and efficiency of facial landmark detection in medical imaging applications, such as dermatology, plastic surgery, and ophthalmology.