Hybrid multiresolution Slantlet transform and fuzzy c-means clustering approach for normal-pathological brain MR image segregation
- 30 June 2008
- journal article
- research article
- Published by Elsevier BV in Medical Engineering & Physics
- Vol. 30 (5), 615-623
- https://doi.org/10.1016/j.medengphy.2007.06.009
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural networkBiomedical Signal Processing and Control, 2006
- Brain magnetic resonance imaging abnormalities after the Norwood procedure using regional cerebral perfusionThe Journal of Thoracic and Cardiovascular Surgery, 2005
- Direct detection of brain acetylcholine synthesis by magnetic resonance spectroscopyBrain Research, 2005
- Alternating cluster estimation: a new tool for clustering and function approximationIEEE Transactions on Fuzzy Systems, 1999
- The slantlet transformIEEE Transactions on Signal Processing, 1999
- Multiwavelet bases with extra approximation propertiesIEEE Transactions on Signal Processing, 1998
- Discrete Spline Filters for Multiresolutions and Wavelets of $l_2 $SIAM Journal on Mathematical Analysis, 1994
- Wavelet-Like Bases for the Fast Solution of Second-Kind Integral EquationsSIAM Journal on Scientific Computing, 1993
- A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequencesIEEE Transactions on Medical Imaging, 1992
- A theory for multiresolution signal decomposition: the wavelet representationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989