Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
The lack of virtual memory protection is a serious source of unreliability in many embedded systems. Without the segment-level protection it provides, these systems are subject to...
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...