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Found 5 papers, 2 papers with code
Restoring Connectivity in Vascular Segmentation using a Learned Post-Processing Model
Accurate segmentation of vascular networks is essential for computer-aided tools designed to address cardiovascular diseases.
Deep vessel segmentation based on a new combination of vesselness filters
Vascular segmentation represents a crucial clinical task, yet its automation remains challenging.
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos
Designing a novel Local Binary Pattern (LBP) process usually relies heavily on human experts' knowledge and experience in the area.
Robust reconstructions by multi-scale/irregular tangential covering
By adapting minDSS to this sparse and irregular data of 1-D intervals supporting the maximal primitives, we are now able to reconstruct the input noisy objects into cyclic contours made of lines or arcs with a minimal number of primitives.
Automated Mathematical Equation Structure Discovery for Visual Analysis
In this paper, we focus on recent AI advances to present a novel framework for automatically discovering equations from scratch with little human intervention to deal with the different challenges encountered in real-world scenarios.
