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» Predicting Segmentation Accuracy for Biological Cell Images
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ICPR
2008
IEEE
15 years 6 months ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
TMI
2011
182views more  TMI 2011»
14 years 6 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
MICCAI
2008
Springer
16 years 26 days ago
Tracking the Swimming Motions of C
Quantitative analysis of the swimming motions of C. elegans worms are of critical importance for many gene-related studies on aging. However no automated methods are currently in u...
Christophe Restif, Dimitris N. Metaxas
ICCS
2009
Springer
14 years 9 months ago
Evaluating the Jaccard-Tanimoto Index on Multi-core Architectures
The Jaccard/Tanimoto coefficient is an important workload, used in a large variety of problems including drug design fingerprinting, clustering analysis, similarity web searching a...
Vipin Sachdeva, Douglas M. Freimuth, Chris Mueller
ICIP
2008
IEEE
16 years 1 months ago
Motion compensation based on implicit block segmentation
Block-based motion and disparity compensation are popular techniques to exploit correlation between video frames. Block sizes used for compensation can be chosen to achieve a good...
Jae Hoon Kim, Antonio Ortega, Peng Yin, Purvin Pan...