Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution

arXiv:2404.07833v1 Announce Type: cross
Abstract: Foundation models have rapidly evolved and have achieved significant accomplishments in computer vision tasks. Specifically, the prompt mechanism conveniently allows users to integrate image prior information into the model, making it possible to apply models without any training. Therefore, we propose a method based on foundation models and zero training to solve the tasks of photoacoustic (PA) image segmentation. We employed the segment anything model (SAM) by setting simple prompts and integrating the model's outputs …

abstract apply arxiv computer computer vision cs.cv cs.lg foundation free image image processing information making prior processing prompt solution tasks the prompt training type vision