Texture analysis of multiple sclerosis: a comparative study.

[1]  G. W. Snedecor.  Statistical Methods , 1964 .

[2]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[3]  Mary M. Galloway,et al.  Texture analysis using gray level run lengths , 1974 .

[4]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Richard W. Conners,et al.  A Theoretical Comparison of Texture Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  A. S. Hall,et al.  NUCLEAR MAGNETIC RESONANCE IMAGING OF THE BRAIN IN MULTIPLE SCLEROSIS , 1981, The Lancet.

[7]  J. Kurtzke.  Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[8]  Edward R. Dougherty,et al.  Morphological methods in image and signal processing , 1988 .

[9]  James M. Keller,et al.  Texture description and segmentation through fractal geometry , 1989, Comput. Vis. Graph. Image Process..

[10]  Michael Spann,et al.  Texture feature performance for image segmentation , 1990, Pattern Recognit..

[11]  Richard C. Dubes,et al.  Performance evaluation for four classes of textural features , 1992, Pattern Recognit..

[12]  T. J. Dennis,et al.  Textured image segmentation by context enhanced clustering , 1994 .

[13]  A. Fenster,et al.  Computer‐assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain , 1994, Journal of magnetic resonance imaging : JMRI.

[14]  Stefanos D. Kollias,et al.  Adaptive classification of textured images using linear prediction and neural networks , 1994, Signal Process..

[15]  Anil K. Jain,et al.  Artificial neural networks for feature extraction and multivariate data projection , 1995, IEEE Trans. Neural Networks.

[16]  Juyang Weng,et al.  Using Discriminant Eigenfeatures for Image Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  S. Reingold,et al.  The role of magnetic resonance techniques in understanding and managing multiple sclerosis. , 1998, Brain : a journal of neurology.

[18]  Michal Strzelecki,et al.  Texture Analysis Methods - A Review , 1998 .

[19]  Trygve Randen,et al.  Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  P. Tofts,et al.  Texture analysis of spinal cord pathology in multiple sclerosis , 1999, Magnetic resonance in medicine.

[21]  D. Vince,et al.  Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound images. , 2000, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[22]  A J Thompson,et al.  Diagnostic criteria for primary progressive multiple sclerosis: A position paper , 2000, Annals of neurology.

[23]  A. Compston,et al.  Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis , 2001, Annals of neurology.

[24]  Jeih-San Liow,et al.  Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects , 2001, NeuroImage.

[25]  O. Yu,et al.  Existence of contralateral abnormalities revealed by texture analysis in unilateral intractable hippocampal epilepsy. , 2001, Magnetic resonance imaging.

[26]  B. Puri,et al.  Cerebellum segmentation employing texture properties and knowledge based image processing: applied to normal adult controls and patients. , 2002, Magnetic resonance imaging.

[27]  Andrzej Materka,et al.  COMPUTER PROGRAM FOR IMAGE TEXTURE ANALYSIS IN PhD STUDENTS LABORATORY , 2002 .

[28]  N. Rajpoot.  Texture classification using discriminant wavelet packet subbands , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

[29]  Marco Rovaris,et al.  Magnetic Resonance Imaging of Multiple Sclerosis , 2002, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[30]  Peng Wang,et al.  Spatial texture analysis: a comparative study , 2002, Object recognition supported by user interaction for service robots.

[31]  Gabriela Castellano,et al.  Texture Analysis of Hippocampal Sclerosis , 2003, Epilepsia.

[32]  Dominik S. Meier,et al.  Time-series analysis of MRI intensity patterns in multiple sclerosis , 2003, NeuroImage.

[33]  Joseph Ross Mitchell,et al.  Texture Analysis of MR Images of Minocycline Treated MS Patients , 2003, MICCAI.

[34]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[35]  J. Sterne,et al.  Accuracy of magnetic resonance imaging for the diagnosis of multiple sclerosis: systematic review , 2006, BMJ : British Medical Journal.

[36]  Andrzej Materka,et al.  Texture analysis for magnetic resonance imaging , 2006 .

[37]  Jing Zhang,et al.  Feature Reduction and Texture Classification in MRI-Texture Analysis of Multiple Sclerosis , 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

[38]  Piotr M. Szczypiński,et al.  MaZda User ' s Manual MaZda User ' s Manual , 2008 .

[39]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .