Multiscale Segmentation of Three-Dimensional MR Brain Images
International Journal of Computer Vision
Automatic Brain and Tumor Segmentation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Fractal analysis of tumor in brain MR images
Machine Vision and Applications
Pattern recognition based on homology theory
Machine Graphics & Vision International Journal
A Simple Method for Detecting Tumor in T2-Weighted MRI Brain Images: An Image-Based Analysis
IEICE - Transactions on Information and Systems
A hierarchical genetic algorithm for segmentation of multi-spectral human-brain MRI
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
Homology algorithm based on acyclic subspace
Computers & Mathematics with Applications
Coreduction Homology Algorithm
Discrete & Computational Geometry
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
Artificial Intelligence in Medicine
Pattern recognition based on homology theory
Machine Graphics & Vision International Journal
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This paper describes a method for detecting the presence of pathological changes in two-dimensional brain images from magnetic resonance examination. The proposed idea is based on homology theory, which makes it easily extendable to three-dimensional brain images in particular it may be applied to the computer tomography data.