Fig. 3From: SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read dataThe F1-scores of SVcnn and SVision for calling a DELs and b INSs in HG002, CHM13, and HG00733. The main reason for the poor performance of SVision is that SVision outputs too many SVs (about 50,000), far exceeding the expected number (about 22,000) of SVsBack to article page