Integrating fuzzy rules into the fast, robust segmentation of magnetic resonance images
- 23 December 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of North American Fuzzy Information Processing
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- The use of fuzzy rules in classification of normal human brain tissuesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A two-stage human brain MRI segmentation scheme using fuzzy logicPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brainIEEE Transactions on Neural Networks, 1992
- Low-level segmentation of 3-D magnetic resonance brain images-a rule-based systemIEEE Transactions on Medical Imaging, 1990
- Efficient Implementation of the Fuzzy c-Means Clustering AlgorithmsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
- A survey on image segmentationPattern Recognition, 1981
- Fuzzy setsInformation and Control, 1965