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Volumn 3216, Issue PART 1, 2004, Pages 274-282

Automatic optimization of segmentation algorithms through simultaneous truth and performance level estimation (STAPLE)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; ESTIMATION; IMAGE ANALYSIS; MEDICAL IMAGING; MONITORING; NEUROLOGY; OPTIMIZATION; MEDICAL IMAGE PROCESSING; PARAMETER ESTIMATION;

EID: 20344385005     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_34     Document Type: Conference Paper
Times cited : (14)

References (8)
  • 1
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    • Validation of image segmentation and expert quality with an expectation-maximization algorithm
    • Tokyo, Japan, September 25-28, Proceedings, Part I
    • Warfield, S. K., Zou, K. H., Wells, W. M.: Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm. MICCAI 2002: 5th International Conference, Tokyo, Japan, September 25-28, Proceedings, Part I. (2002) 298 - 306.
    • (2002) MICCAI 2002: 5th International Conference , pp. 298-306
    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3
  • 2
    • 0005639541 scopus 로고    scopus 로고
    • Stochastic approximation and simulated annealing
    • Wiley, New York
    • Spall, J. C.: Stochastic Approximation and Simulated Annealing. Encyclopedia of Electrical and Electronics Engineering, Wiley, New York, Vol. 20, (1999) 529-542.
    • (1999) Encyclopedia of Electrical and Electronics Engineering , vol.20 , pp. 529-542
    • Spall, J.C.1
  • 3
    • 0008109330 scopus 로고    scopus 로고
    • PhD Thesis, University College London
    • Ashburner, J.: Computational Neuroanatomy. PhD Thesis, University College London (2000). Available at http://www.fil.ion.ucl.ac.uk/spm.
    • (2000) Computational Neuroanatomy
    • Ashburner, J.1
  • 4
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden markov random field model and the expectation-maximization algorithm
    • Zhang, Y., Brady, M., and Smith S.: Segmentation of Brain MR Images Through a Hidden Markov Random Field Model and the Expectation-Maximization Algorithm. IEEE Trans. Medical Imaging, Vol. 20, No. 1, (2001) 45-57.
    • (2001) IEEE Trans. Medical Imaging , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 5
    • 0030170534 scopus 로고    scopus 로고
    • Fast k-NN classification for multichannel image data
    • Warfield, S. K.: Fast k-NN Classification for Multichannel Image Data. Pattern Recognition Lett., Vol. 17, No. 7 (1996) 713-721.
    • (1996) Pattern Recognition Lett. , vol.17 , Issue.7 , pp. 713-721
    • Warfield, S.K.1
  • 7
    • 0036879769 scopus 로고    scopus 로고
    • Flux-based anisotropic diffusion: Application to enhancement of 3D angiogram
    • Krissian, K.: Flux-Based Anisotropic Diffusion: Application to Enhancement of 3D Angiogram. IEEE Trans. Medical Imaging, Vol. 22, No. 11 (2002)1440-1442.
    • (2002) IEEE Trans. Medical Imaging , vol.22 , Issue.11 , pp. 1440-1442
    • Krissian, K.1
  • 8
    • 0036828879 scopus 로고    scopus 로고
    • Fast robust automated brain extraction
    • Smith, S.: Fast Robust Automated Brain Extraction. Human Brain Mapping, Vol.17, No. 3, (2002) 143-155.
    • (2002) Human Brain Mapping , vol.17 , Issue.3 , pp. 143-155
    • Smith, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.