Search Results for author:
Found 1 papers, 0 papers with code
SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors
In this paper, we propose a novel and generic framework called Segmentation-Emendation-reSegmentation-Verification (SESV) to improve the accuracy of existing DCNNs in medical image segmentation, instead of designing a more accurate segmentation model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
