ROSE: Multi-level super-resolution-oriented semantic embedding for 3D microvasculature segmentation from low-resolution images

Current state-of-the-art segmentation methods often require high-resolution input to attain the high performance, which pushes the limit of data acquisition and brings large computation budgets. Instead, we present an end-to-end deep learning-based method, ROSE, for robust and precise segmentation of high-quality 3D super-resolution (SR) microvasculatures from low-resolution (LR) images as input, which can transform data from the LR imaging …