2021
Super-Resolution and Infection Edge Detection Co-Guided Learning for Covid-19 Ct Segmentation
ICASSP 2021accepted
In this paper, we propose a novel super-resolution and infection edge detection co-guided learning network for COVID-19 CT segmentation (CogSeg). Our CogSeg is a coherent framework consisting of two branches. Specifically, we use image super-resolution (SR) as an auxiliary task, which assist segment…