Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images

arXiv:2404.14837v1 Announce Type: cross
Abstract: Segment Anything Model (SAM) has recently achieved amazing results in the field of natural image segmentation. However, it is not effective for medical image segmentation, owing to the large domain gap between natural and medical images. In this paper, we mainly focus on ultrasound image segmentation. As we know that it is very difficult to train a foundation model for ultrasound image data due to the lack of large-scale annotated ultrasound image data. To address …

adapter arxiv cs.cv eess.iv images sam segmentation type