Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
Journal of VLSI Signal Processing Systems - special issue on applications of neural networks in biomedical image processing
Advanced algorithmic approaches to medical image segmentation
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Fuzzy spatial growing for glioblastoma multiforme segmentation on brain magnetic resonance imaging
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
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The authors present a method that combines region growing and edge detection for magnetic resonance (MR) brain image segmentation. Starting with a simple region growing algorithm which produces an over segmented image, the authors apply a sophisticated region merging method which is capable of handling complex image structures. Edge information is then integrated to verify and, where necessary, to correct region boundaries. The results show that this method is reliable and efficient for MR brain image segmentation.