Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation explores A parameter-efficient semi-supervised learning framework for medical ultrasound image segmentation that leverages multiscale patch mixing and frequency domain contrastive learning to achieve state-of-the-art performance with limited labeled data.. Commercial viability score: 7/10 in Medical AI.