A fast algorithm for level set-like active contours
Pattern Recognition Letters
Morphological multiscale decomposition of connected regions with emphasis on cell clusters
Computer Vision and Image Understanding
On the decomposition of cell clusters
Journal of Mathematical Imaging and Vision
Segmentation of Touching Cell Nuclei Using a Two-Stage Graph Cut Model
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Automatic clump splitting for cell quantification in microscopical images
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Geodesic Methods in Computer Vision and Graphics
Foundations and Trends® in Computer Graphics and Vision
Leukocyte segmentation in blood smear images using region-based active contours
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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Human leukocytes (white blood cells) can be divided into about twenty subclasses and the estimation of their distribution, called differential counting, is an important diagnostic tool in various clinical settings. Automatic differential counters based on digital image analysis require good segmentation algorithms to locate each cell and the accuracy of the subsequent classification depends on the correct segmentation of solitary cells as well as cell clusters.Previously published segmentation algorithms mainly use various thresholding schemes to extract the nucleus and cytoplasm of solitary cells but, so far, no successful clustersegmentation method has been developed. In this paper we present a model-based segmentation algorithm that uses interface propagation models to locate nuclear segments and their adherent cytoplasms. These segments are then assembled using a model-based combinatorial optimization scheme. The results are very promising and, to our knowledge,this is the first successful attempt to solve this problem.