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» MRA data segmentation using level sets
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17 years 3 months ago
Surface Rendering Using Vtk4.2 Qt3.x C++
This is an infrastructure code that integrates C++/Vt/Qt/Newmat into a cross-platform program that can run on any plateform Unix/Linux/Windows. For demo purposes, it loads any segm...
M. Sabry Hassouna
168
Voted
GM
1999
Springer
15 years 6 months ago
Data-Dependent Triangulation in the Plane with Adaptive Knot Placement
In many applications one is concerned with the approximation of functions from a finite set of scattered data sites with associated function values. We describe a scheme for cons...
René Schätzl, Hans Hagen, James C. Bar...
133
Voted
MICCAI
2010
Springer
15 years 1 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
119
Voted
ICIP
2004
IEEE
16 years 4 months ago
Elliptic arc vectorization for 3d pie chart recognition
In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments ar...
Weihua Huang, Chew Lim Tan, Wee Kheng Leow
140
Voted
ICML
2000
IEEE
16 years 3 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...