Graph-based tools for microscopic cellular image segmentation
Pattern Recognition
Four-Color Theorem and Level Set Methods for Watershed Segmentation
International Journal of Computer Vision
Cell Segmentation Using Front Vector Flow Guided Active Contours
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Multi-modal 3D image registration based on estimation of non-rigid deformation
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Histology image analysis for carcinoma detection and grading
Computer Methods and Programs in Biomedicine
A visual targeting system for the microinjection of unstained adherent cells
Computers in Biology and Medicine
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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Statistical analysis of genetic changes within cell nuclei that are far from the primary tumor would help determine whether such changes have occurred prior to tumor invasion. To determine whether the gene amplification in cells is morphologically and/or genetically related to the primary tumor requires quantitative evaluation of a large number of cell nuclei from continuous meaningful structures such as milk-ducts, tumors, etc., located relatively far from the primary tumor. To address this issue, we have designed an integrated image analysis software system for high-throughput segmentation of nuclei. Filters such as Beltrami flow-based reaction-diffusion, directional diffusion, etc., were used to pre-process the images resulting in a better segmentation. The accurate shape of the segmented nucleus was recovered using an iterative "shrink-wrap" operation. The study of two cases of ductal carcinoma in situ in breast tissue supports the biological observation regarding the existence of a preferential intraductal invasion, and therefore a common origin, between the primary tumor and the gene amplification in the cell-nuclei lining the ductal structures in the breast