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cs.CV2026
Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming
Yue Zhou, Erxuan Wu, Yikang Sun +5
Vision-Language Models (VLMs) have significantly advanced medical visual question answering, yet their performance in ultrasound remains suboptimal. In clinical practice, sonograph…
cs.CV2026
From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
Evren Çetinkaya, Sangmin Lee, Jung Uk Kim +2
Visual prompting has emerged as a powerful method for adapting pre-trained models to new domains without updating model parameters. However, existing prompting methods typically op…