Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
IEEE

Deep Unfolding Segmentation Network for Under-sampled Magnetic Resonance Images

Abstract: Magnetic Resonance (MR) image segmentation is a critical task in assisting disease diagnosis. Most existing methods assume that the images being segmented are fully-sampled. However, they ...
GitHub

Production-Ready YOLO Inference Engine for C++

YOLOs-CPP is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provides a unified, consistent API across all YOLO versions ...
IEEE

Deep Merge: Deep-Learning-Based Region Merging for Remote Sensing Image Segmentation

Abstract: Image segmentation represents a fundamental step in analyzing very high-spatial-resolution (VHR) remote sensing imagery. Its objective is to partition an image into segments that best match ...