Segmentation of medical images based on approximations in rough set theory

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

Volumn 2475, Issue , 2002, Pages 554-563

  Hirano, Shoji ^a   Tsumoto, Shusaku ^a  

^a SHIMANE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATION THEORY; IMAGE SEGMENTATION; MEDICAL IMAGE PROCESSING;

ATTRIBUTE VALUES; BOUNDARY REGIONS; EXPERT KNOWLEDGE; IMAGE SEGMENTATION SYSTEM; NEGATIVE REGIONS; REGION OF INTEREST; SEGMENTATION METHODS; SEGMENTATION OF MEDICAL IMAGES;

ROUGH SET THEORY;

EID: 84942847786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45813-1_73     Document Type: Conference Paper

References (9)

1. J. C. Russ, The IMAGE PROCESSING Handbook Second Edition, CRC Press Inc., 1995.
2. E. Gose, R. Johnsonbaugh and S. Jost, Pattern Recognition and Image Analysis, Prentice Hall, Inc., 1996.
3. G. Lohmann, Volumetric Image Analysis, John Wiley & Sons Ltd and B. G. Teubner, 1998.
4. T. McInerney and D. Terzopoulos, “Deformable Models in Medical Image Analysis,” in Proc. the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 171–180, 1996.
5. A. Kandel, Fuzzy Expert Systems, CRC Press Inc., 1992.
6. L. K. Arata, A. P. Dhawan, J. P. Broderick, M. F. Gaskil-Shipley, A. V. Levy and N. D. Volkow, “Three-dimensional Anatomical Model-Based Segmentation of MR Brain Images Through Principal Axes Registration,” IEEE Trans. Biomed. Eng., vol. 42, no. 11, pp. 1069–78, 1995.
7. C. Li, D. B. Goldgof and L. O. Hall, “Knowledge-based Classification and Tissue Labeling of MR Images of Human Brain,” IEEE Trans. Med. Imaging, vol. 12, no. 4, pp. 740–750, 1993.
8. M. S. Brown, M. F. McNitt-Gray, N. J. Mankovich, J. G. Goldin, J. Hiller, L. S. Wilson and D. R. Aberie, “Method for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results,” IEEE Trans. Med. Imaging, vol. 16, no. 6, pp. 828–939, 1997.
9. Z. Pawlak, Rough Sets, Theoretical Aspects of Reasoning About Data, Kluwer Academic Publishers, Dordrecht, 1991.