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Volumn , Issue , 2007, Pages 9-12

Mitosis cell identification with conditional random fields

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY; FLUORESCENCE MICROSCOPY; RANDOM PROCESSES;

EID: 50849126795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LSSA.2007.4400872     Document Type: Conference Paper
Times cited : (25)

References (13)
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    • 33847100200 scopus 로고    scopus 로고
    • An efficient system for optical microscopy cell image segmentation, tracking and cell phase identification
    • Atlanta
    • Yan J, Zhou X, Yang Q, Liu N, Cheng Q and Wong STC: An efficient system for optical microscopy cell image segmentation, tracking and cell phase identification. In IEEE Internatioanl symposium on linage Processing, 2006, Atlanta, 2006: 1536-1537.
    • (2006) IEEE Internatioanl symposium on linage Processing , pp. 1536-1537
    • Yan, J.1    Zhou, X.2    Yang, Q.3    Liu, N.4    Cheng, Q.5    Wong, S.T.C.6
  • 2
    • 85032751088 scopus 로고    scopus 로고
    • High content cellular imaging for drug development
    • Zhou X and Wong STC: High content cellular imaging for drug development. IEEE Signal Processing Magzine 2006, 23, 170-174,
    • (2006) IEEE Signal Processing Magzine , vol.23 , pp. 170-174
    • Zhou, X.1    Wong, S.T.C.2
  • 4
    • 33645326241 scopus 로고    scopus 로고
    • Automated segmentation, classification and tracking of cancer cell nuclei in time-lapse microscopy
    • Chen X, Zhou X, and Wong STC: Automated segmentation, classification and tracking of cancer cell nuclei in time-lapse microscopy. IEEE Transactions on Biomedical Engineering 2006, 53: 762-766.
    • (2006) IEEE Transactions on Biomedical Engineering , vol.53 , pp. 762-766
    • Chen, X.1    Zhou, X.2    Wong, S.T.C.3
  • 5
    • 33847140136 scopus 로고    scopus 로고
    • Context based mixture model for cell phase identification in automated flurescence microscopy
    • Wang M, Zhou X, King R, and Wong STC. Context based mixture model for cell phase identification in automated flurescence microscopy. BMC Bioinformatics, 2007, 8:32.
    • (2007) BMC Bioinformatics , vol.8 , pp. 32
    • Wang, M.1    Zhou, X.2    King, R.3    Wong, S.T.C.4
  • 6
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy markov models for information extraction and segmentation
    • McCallum A, Freitag D and Pereira F. Maximum entropy markov models for information extraction and segmentation. Proceedings of ICML, 2000, 591-598.
    • (2000) Proceedings of ICML , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 7
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty J, McCallum A and Pereira F. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. Proceedings of ICML, 2001.
    • (2001) Proceedings of ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 10
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for Hidden Markov Models: Theoryand experiements with perceptron algorithms
    • Collins M, Discriminative training methods for Hidden Markov Models: Theoryand experiements with perceptron algorithms. Proc. Of Empirical Methods of Natural Language processing, 2002.
    • (2002) Proc. Of Empirical Methods of Natural Language processing
    • Collins, M.1
  • 13
    • 0015680481 scopus 로고
    • Texutral features for image classification. IEEE Transactions on System
    • Haralick R, Shanmugam K, and Dinstern I: Texutral features for image classification. IEEE Transactions on System, Man and Cybertinetics, 1973, 3:610-621.
    • (1973) Man and Cybertinetics , vol.3 , pp. 610-621
    • Haralick, R.1    Shanmugam, K.2    Dinstern, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.