#ultrasound2 articles

2 articles

AINeutralarXiv – CS AI · 6h ago0

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TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis

Researchers propose TAP-SLF, a parameter-efficient framework for adapting Vision Foundation Models to multiple ultrasound medical imaging tasks simultaneously. The method uses task-aware prompting and selective layer fine-tuning to achieve effective performance while avoiding overfitting on limited medical data.

AINeutralarXiv – CS AI · 6h ago0

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Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis

Researchers developed a new multi-task AI framework for breast ultrasound analysis that simultaneously performs lesion segmentation and tissue classification. The system uses multi-level decoder interaction and uncertainty-aware coordination to achieve 74.5% lesion IoU and 90.6% classification accuracy on the BUSI dataset.