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ICIP
2006
IEEE
14 years 9 months ago
Max-Min Central Vein Detection in Retinal Fundus Images
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Hind Azegrouz, Emanuele Trucco
MICCAI
2002
Springer
14 years 8 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
MICCAI
2003
Springer
14 years 8 months ago
Generalized Image Models and Their Application as Statistical Models of Images
A generalized image model (GIM) is presented. Images are represented as sets of four-dimensional (4D) sites combining position and intensity information, as well as their associat...
Miguel Ángel González Ballester, Xav...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 1 months ago
XCS for robust automatic target recognition
A primary strength of the XCS approach is its ability to create maximally accurate general rules. In automatic target recognition (ATR) there is a need for robust performance beyo...
B. Ravichandran, Avinash Gandhe, Robert E. Smith
ISLPED
2003
ACM
85views Hardware» more  ISLPED 2003»
14 years 25 days ago
ILP-based optimization of sequential circuits for low power
The power consumption of a sequential circuit can be reduced by decomposing it into subcircuits which can be turned off when inactive. Power can also be reduced by careful state e...
Feng Gao, John P. Hayes