Using fuzzy information in knowledge guided segmentation of brain tumors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1188, Issue , 1997, Pages 167-181

  Clark, Matthew C ^a   Hall, Lawrence O ^a   Goldgof, Dmitry B ^a   Silbiger, Martin S ^b  

^a Department of Computer Science and Engineering ^*  (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CLUSTERING ALGORITHMS; COMPUTER CIRCUITS; COPYING; FUZZY CLUSTERING; HISTOLOGY; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; ITERATIVE METHODS; KNOWLEDGE BASED SYSTEMS; MAGNETIC RESONANCE; TISSUE ENGINEERING; TUMORS;

FOCUS OF ATTENTION; FUZZY C-MEANS ALGORITHMS; FUZZY INFORMATION; GLIOBLASTOMA MULTIFORME; MODEL-BASED RECOGNITION; SEGMENTED IMAGES; TUMOR SEGMENTATION; UNSUPERVISED FUZZY CLUSTERING;

FUZZY LOGIC;

EID: 84947930914     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62474-0_13     Document Type: Conference Paper

References (8)

1. C. Li, D. Goldgof, and L. Hall, "Automatic segmentation and tissue labeling of MR brain images," IEEE Transactions on Medical Imaging, vol. 12, pp. 740750, December 1993.
2. M. Clark, L. Hall, C. Li, and D. Goldgof, "Knowledge based (re-)clustering," in 12th IAPR International Conference on Pattern Recognition, 1994. Jerusalem, Israel.
3. M. Clark, L. Hall, D. Goldgof, and et al., "MRI segmentation using fuzzy clustering techniques: Integrating knowledge," IEEE Engineering in Medicine and Biology, vol. 13, no. 5, pp. 730-742, 1994.
4. R. Novelline and L. Squire, Living Anatomy. Hanley and Belfus, 1987.
5. H. Schnitzlein and F. R. Murtagh, Imaging Anatomy of the Head and Spine: A Photographic Color Atlas of MRI,CT, gross, and Microscopic Anatomy in Axial, Coronal, and Sagittal Planes. Baltimore: Urban & Schwarzenberg, second ed., 1990.
6. R. Velthuizen, L. Hall, and L. Clarke, "Unsupervised fuzzy segmentation of 3D magnetic resonance brain images," in Biomedical Image Processing and Biom,edical Visualization, 1993. SPIE at San Jose, CA.
7. A. Bensaid, Applications of Concept Formation toward Simplified Knowledge Acquisition and Fuzzy Set Generation. PhD thesis, University of South Florida, 1994.
8. M. Vaidyanathan, L. Clarke, R. Velthuizen, S. Phuphanich, A. Bensaid, L. Hall, J. Bezdek, and M. Silbiger, "Comparison of supervised MRI segmentation methods for tumor volume determination during therapy." To Appear in Magnetic Resonance Imaging, 1995.