Pujin Cheng

ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation

2023 · arXiv (Cornell University)

Liver tumor segmentation is essential for computer-aided diagnosis, surgical planning, and prognosis evaluation. However, obtaining and maintaining a large-scale dataset with dense annotations is challenging. Semi-Supervised Learning (SSL) is a common technique to address these …