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ISBI
2004
IEEE
16 years 7 months ago
Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups
The purpose of this work was to develop an automatic boundary detection method for mammographic masses and to observe the method's performance on different four of the five m...
Lisa Kinnard, Shih-Chung Ben Lo, Erini Makariou, T...
ISBI
2008
IEEE
16 years 7 months ago
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI
Within-subject analysis in fMRI relies on both (i) a detection step to localize which parts of the brain are activated by a given stimulus type, and on (ii) an estimation step to ...
Thomas Vincent, Philippe Ciuciu, Bertrand Thirion
OSDI
2008
ACM
16 years 6 months ago
Digging for Data Structures
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
Anthony Cozzie, Frank Stratton, Hui Xue, Samuel T....
CVPR
2010
IEEE
16 years 3 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
AIME
2009
Springer
16 years 1 months ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...