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Found 5 papers, 0 papers with code
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation
One well established method of interactive image segmentation is the random walker algorithm.
A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods
As the proposed nested sweeps algorithm is fast, it can be used to generate test data on demand.
Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images
The random walker method for image segmentation is a popular tool for semi-automatic image segmentation, especially in the biomedical field.
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets
Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges regarding scalability for automated analysis algorithms due to rapidly increasing dataset sizes.
Barista - a Graphical Tool for Designing and Training Deep Neural Networks
In recent years, the importance of deep learning has significantly increased in pattern recognition, computer vision, and artificial intelligence research, as well as in industry.
