Kavli Affiliate: Feng Yuan | First 5 Authors: Yuli Wang, Peiyu Duan, Zhangxing Bian, Anqi Feng, Yuan Xue | Summary: Annotating biomedical images for supervised learning is a complex and labor-intensive task due to data diversity and its intricate nature. In this paper, we propose an innovative method, the efficient one-pass selective annotation (EPOSA), that […]
Continue.. Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach