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» Segmentation of medical images using a genetic algorithm
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ISBI
2002
IEEE
16 years 7 months ago
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...
Chia-Ling Tsai, Charles V. Stewart, Badrinath Roys...
MICCAI
2004
Springer
16 years 3 days ago
An Anisotropic Material Model for Image Guided Neurosurgery
In order to combine preoperative data with intraoperative scans for image-guided neurosurgery visualization, accurate registration is necessary. It has been determined previously t...
Corey Kemper, Ion-Florin Talos, Alexandra Golby, P...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
16 years 8 days ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
ICPR
2002
IEEE
16 years 7 months ago
Multiscale Watershed Segmentation of Multivalued Images
In this paper, a new segmentation technique for multivalued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called mu...
Paul Scheunders, Jan Sijbers
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...