ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation

The newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, variety of input prompts, training capabilities, and efficient model design. However, its current model is trained on a diverse dataset not tailored to medical images, particularly ultrasound images. Ultrasound images tend to have a lot of noise, making it difficult to segment out important structures. In this project, we developed ClickSAM, which fine-tunes the Segment Anything Model using click …

accuracy capabilities click cs.ai cs.cv current dataset design diverse fine-tuning image image processing images medical model design physics.med-ph popular processing prompts sam segment segment anything segment anything model segmentation tool training