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» An Adaptive Level Set Method for Medical Image Segmentation
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87
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BMCBI
2007
157views more  BMCBI 2007»
14 years 9 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
98
Voted
ECCV
2010
Springer
15 years 2 days ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
MICCAI
2006
Springer
15 years 10 months ago
Toward Interactive User Guiding Vessel Axis Extraction from Gray-scale Angiograms: An Optimization Framework
We propose a novel trace-based method to extract vessel axes from gray-scale angiograms without preliminary segmentations. Our method traces the axes on an optimization framework w...
Wilbur C. K. Wong, Albert C. S. Chung
92
Voted
CVPR
2007
IEEE
14 years 11 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
81
Voted
SIBGRAPI
2007
IEEE
15 years 3 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo