XBusNet combines CLIP text prompts and a U-Net to segment breast ultrasound lesions, achieving Dice 0.877 and IoU 0.815 on BLU, outperforming six baselines.
Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group.Eur J Cancer, 46(8):1296–1316, 2010
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XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning
XBusNet combines CLIP text prompts and a U-Net to segment breast ultrasound lesions, achieving Dice 0.877 and IoU 0.815 on BLU, outperforming six baselines.