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Volumn 39, Issue 10, 2012, Pages 6372-6387

Prostate segmentation by sparse representation based classification

Author keywords

classification; image guided radiation therapy; prostate CT images; segmentation; sparse representation

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; DISEASES; HISTOLOGY; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; ITERATIVE METHODS; LEARNING SYSTEMS; PIXELS; RADIOTHERAPY; TISSUE; UROLOGY;

EID: 84867319406     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4754304     Document Type: Article
Times cited : (47)

References (36)
  • 1
    • 0003964363 scopus 로고    scopus 로고
    • (American Cancer Society, Atlanta).
    • Cancer Facts Figures (American Cancer Society, Atlanta, 2012).
    • (2012) Cancer Facts Figures
  • 3
    • 35349013507 scopus 로고    scopus 로고
    • Registering histologic and MR images of prostate for image-based cancer detection
    • 10.1016/j.acra.2007.07.018
    • Y. Zhan, Y. Ou, M. Feldman, J. Tomaszeweski, C. Davatzikos, and D. Shen, Registering histologic and MR images of prostate for image-based cancer detection., Academic radiology 14 (11), 1367-1381 (2007). 10.1016/j.acra.2007. 07.018
    • (2007) Academic Radiology , vol.14 , Issue.11 , pp. 1367-1381
    • Zhan, Y.1    Ou, Y.2    Feldman, M.3    Tomaszeweski, J.4    Davatzikos, C.5    Shen, D.6
  • 5
    • 18844447681 scopus 로고    scopus 로고
    • A method and software for segmentation of anatomic object ensembles by deformable m-reps
    • 10.1118/1.1869872
    • S. M. Pizer, A method and software for segmentation of anatomic object ensembles by deformable m-reps., Med. Phys. 32 (5), 1335-1345 (2005). 10.1118/1.1869872
    • (2005) Med. Phys. , vol.32 , Issue.5 , pp. 1335-1345
    • Pizer, S.M.1
  • 6
    • 19044388414 scopus 로고    scopus 로고
    • Model-based segmentation of medical imagery by matching distributions
    • 10.1109/TMI.2004.841228
    • D. Freedman, Model-based segmentation of medical imagery by matching distributions., IEEE Trans. Med. Imaging 24 (3), 281-292 (2005). 10.1109/TMI.2004.841228
    • (2005) IEEE Trans. Med. Imaging , vol.24 , Issue.3 , pp. 281-292
    • Freedman, D.1
  • 7
    • 38149062732 scopus 로고    scopus 로고
    • Automatic segmentation of bladder and prostate using coupled 3D deformable models
    • M. J. Costa, Automatic segmentation of bladder and prostate using coupled 3D deformable models., Med. Image Comput. Comput. Assist. Interv. 10 (Pt 1), 252-260 (2007).
    • (2007) Med. Image Comput. Comput. Assist. Interv. , vol.10 , Issue.PART 1 , pp. 252-260
    • Costa, M.J.1
  • 9
    • 78449235459 scopus 로고    scopus 로고
    • Segmenting the prostate and rectum in CT imagery using anatomical constraints
    • 10.1016/j.media.2010.06.004
    • S. Chen, D. M. Lovelock, and R. J. Radke, Segmenting the prostate and rectum in CT imagery using anatomical constraints., Med. Image Anal. 15 (1), 1-11 (2011). 10.1016/j.media.2010.06.004
    • (2011) Med. Image Anal. , vol.15 , Issue.1 , pp. 1-11
    • Chen, S.1    Lovelock, D.M.2    Radke, R.J.3
  • 10
    • 33744797692 scopus 로고    scopus 로고
    • Automatic segmentation of intra-treatment CT images for adaptive radiation therapy of the prostate
    • B. C. Davis, Automatic segmentation of intra-treatment CT images for adaptive radiation therapy of the prostate., Med. Image Comput. Comput. Assist. Interv. 8 (Pt 1), 442-450 (2005).
    • (2005) Med. Image Comput. Comput. Assist. Interv. , vol.8 , Issue.PART 1 , pp. 442-450
    • Davis, B.C.1
  • 11
    • 33748940057 scopus 로고    scopus 로고
    • An enhanced block matching algorithm for fast elastic registration in adaptive radiotherapy
    • 10.1088/0031-9155/51/19/005
    • U. Malsch, An enhanced block matching algorithm for fast elastic registration in adaptive radiotherapy., Phys. Med. Biol. 51 (19), 4789-4806 (2006). 10.1088/0031-9155/51/19/005
    • (2006) Phys. Med. Biol. , vol.51 , Issue.19 , pp. 4789-4806
    • Malsch, U.1
  • 12
    • 80053467262 scopus 로고    scopus 로고
    • A learning based hierarchical framework for automatic prostate localization in CT images
    • in, edited by A. Madabhushi (Springer, Berlin)
    • S. Liao and D. Shen, A learning based hierarchical framework for automatic prostate localization in CT images., in Proceedings of Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions, edited by, A. Madabhushi, (Springer, Berlin, 2011), pp. 1-9.
    • (2011) Proceedings of Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions , pp. 1-9
    • Liao, S.1    Shen, D.2
  • 14
    • 41049088416 scopus 로고    scopus 로고
    • Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies
    • 10.1088/0031-9155/53/6/017
    • B. Haas, Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies., Phys. Med. Biol. 53 (6), 1751 (2008). 10.1088/0031-9155/53/6/017
    • (2008) Phys. Med. Biol. , vol.53 , Issue.6 , pp. 1751
    • Haas, B.1
  • 16
    • 85162030742 scopus 로고    scopus 로고
    • Group sparse coding with a Laplacian scale mixture prior
    • P. Garrigues and B. Olshausen, Group sparse coding with a Laplacian scale mixture prior., Adv. Neural Inf. Process. Syst. 23, 1-9 (2010).
    • (2010) Adv. Neural Inf. Process. Syst. , vol.23 , pp. 1-9
    • Garrigues, P.1    Olshausen, B.2
  • 18
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • 10.1109/TSP.2006.881199
    • M. Aharon, M. Elad, and A. Bruckstein, K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation., IEEE Trans. Signal Process. 54 (11), 4311-4322 (2006). 10.1109/TSP.2006.881199
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 21
    • 77952678579 scopus 로고    scopus 로고
    • Applications of sparse representation and compressive sensing
    • 10.1109/JPROC.2010.2047424
    • R. Baraniuk, Applications of sparse representation and compressive sensing., Proc. IEEE 98 (6), 906-909 (2010). 10.1109/JPROC.2010.2047424
    • (2010) Proc. IEEE , vol.98 , Issue.6 , pp. 906-909
    • Baraniuk, R.1
  • 22
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • 10.1109/TPAMI.2008.79
    • J. Wright, Robust face recognition via sparse representation., IEEE Trans. Pattern Anal. Mach. Intell. 31 (2), 210-227 (2009). 10.1109/TPAMI.2008.79
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.2 , pp. 210-227
    • Wright, J.1
  • 23
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • 10.1111/j.1467-9868.2005.00503.x
    • H. Zou and T. Hastie, Regularization and variable selection via the elastic net., J. R. Stat. Soc. Ser. B 67, 301-320 (2005). 10.1111/j.1467-9868. 2005.00503.x
    • (2005) J. R. Stat. Soc. Ser. B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 25
    • 7244248755 scopus 로고    scopus 로고
    • A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
    • 10.1093/bioinformatics/bth267
    • T. Li, C. Zhang, and M. Ogihara, A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression., Bioinformatics 20 (15), 2429-2437 (2004). 10.1093/bioinformatics/ bth267
    • (2004) Bioinformatics , vol.20 , Issue.15 , pp. 2429-2437
    • Li, T.1    Zhang, C.2    Ogihara, M.3
  • 26
    • 41649087417 scopus 로고    scopus 로고
    • Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics
    • 10.1109/TMI.2007.908130
    • Y. Shi, F. Qi, Z. Xue, L. Chen, K. Ito, H. Matsuo, and D. Shen, Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics., Medical Imaging, IEEE Transactions 27 (4), 481-494 (2008). 10.1109/TMI.2007.908130
    • (2008) Medical Imaging, IEEE Transactions , vol.27 , Issue.4 , pp. 481-494
    • Shi, Y.1    Qi, F.2    Xue, Z.3    Chen, L.4    Ito, K.5    Matsuo, H.6    Shen, D.7
  • 27
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. G. A. Elisseeff, An introduction to variable and feature selection., J. Mach. Learn. Res. 3, 1157-1182 (2003).
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Elisseeff, I.G.A.1
  • 29
    • 0037313218 scopus 로고    scopus 로고
    • Dictionary learning algorithms for sparse representation
    • 10.1162/089976603762552951
    • K. Kreutz-Delgado, Dictionary learning algorithms for sparse representation., Neural Comput. 15 (2), 349-396 (2003). 10.1162/ 089976603762552951
    • (2003) Neural Comput. , vol.15 , Issue.2 , pp. 349-396
    • Kreutz-Delgado, K.1
  • 30
    • 77956051102 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks and 3D brain image segmentation
    • 10.1109/TPAMI.2009.186
    • Z. Tu and X. Bai, Auto-context and its application to high-level vision tasks and 3D brain image segmentation., IEEE Trans. Pattern Anal. Mach. Intell. 32 (10), 1744-1757 (2010). 10.1109/TPAMI.2009.186
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.10 , pp. 1744-1757
    • Tu, Z.1    Bai, X.2
  • 33
    • 0000250265 scopus 로고
    • Measures of the amount of ecologic association between species
    • 10.2307/1932409
    • L. R. Dice, Measures of the amount of ecologic association between species., Ecology 26 (3), 297-302 (1945). 10.2307/1932409
    • (1945) Ecology , vol.26 , Issue.3 , pp. 297-302
    • Dice, L.R.1
  • 34
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • 10.1109/TIP.2006.881969
    • M. Elad and M. Aharon, Image denoising via sparse and redundant representations over learned dictionaries., IEEE Trans. Image Process. 15 (12), 3736-3745 (2006). 10.1109/TIP.2006.881969
    • (2006) IEEE Trans. Image Process. , vol.15 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 36
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • J. Mairal, Online learning for matrix factorization and sparse coding., J. Mach. Learn. Res. 11, 19-60 (2010).
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 19-60
    • Mairal, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.