Statistical validation of automated probabilistic segmentation against composite latent expert ground truth in MR imaging of brain tumors

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

Volumn 2488, Issue , 2002, Pages 315-322

  Zou, Kelly H ^a   Wells, William M ^a   Kaus, Michael R ^a   Kikinis, Ron ^a   Jolesz, Ferenc A ^a   Warfield, Simon K ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; BRAIN; DISTRIBUTION FUNCTIONS; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD; MEDICAL COMPUTING; MEDICAL IMAGING; TUMORS;

AUTOMATED SEGMENTATION; AUTOMATED SEGMENTATION METHOD; INTENSITY VARIATIONS; MAXIMUM LIKELIHOOD ALGORITHM; PROBABILISTIC MEASURES; RECEIVER OPERATING CHARACTERISTIC CURVES; SIMILARITY COEFFICIENTS; STATISTICAL VALIDATION;

IMAGE SEGMENTATION;

EID: 84974725100     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45786-0_39     Document Type: Conference Paper

References (10)

1. Warfield S. K., Westin C.-F., Guttmann, C. R. G., Albert, M., Jolesz, F. A., Kikinis, R.: Fractional segmentation of white matter. In Proceedings of Second International Conference on Medical Imaging Computing and ComputerAssisted Interventions, Cambridge, UK (1999) 62-71.
2. Zijdenbos, A. P., Dawant, B.M., Margolin, R. A., Palmer, A. C.: Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Transactions on Medical Imaging 13 (1994) 716-724.
3. Jaccard, P.: The distribution of flora in the alpine zone. New Phytologist 11 (1912) 37-50.
4. Dice, L. R.: Measures of the amount of ecologic association between species. Ecology, 26 (1945) 297-302.
5. Zou, K. H., Hall W J., Shapiro, D. E.: Smooth nonparametric receiver operating characteristic curves for continuous diagnostic tests. Statistics in Medicine 16 (1997) 2143-2156.
6. Zou, K. H., Hall W J.: Two transformation models for estimating an ROC curve derived from continuous data. Journal of Applied Statistics 27 (2000) 621-631.
7. Dempster, A. P, Laird, N. M., Rubin, D. B.: Maximum-likelihood from incomplete data via the EM algorithm. J. Royal Statistical Society (Ser. B) 39 (1977) 34-37.
8. McLachlan G. J., Krishnan, T.: The EMAlgorithm and Extensions. Wiley, NewYork (1997).
9. Cover, T. MM, Thomas J. A.: Elements of Information Theory. JohnWiley & Sons, Inc., New York (1991).
10. Kaus, M., Warfield S. K., Nabavi A., Black, P. M., Jolesz, F. A., Kikinis, R.: Automated segmentation of MRI of brain tumors. Radiology 218 (2001) 586-591.