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Volumn , Issue , 2010, Pages 1415-1418

Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis

Author keywords

Breast cancer; Computer aided prognosis (CAP); Data fusion; Digital pathology; MRI; Multi modal; Personalized medicine; Prostate cancer

Indexed keywords

AS GRAPH; BREAST CANCER; COMPUTATIONAL IMAGING; DATA FUSION ALGORITHM; HIGH DIMENSIONAL DATA; IMAGE-BASED; MULTI-MODAL; MULTI-MODAL DATA; MULTI-MODAL IMAGE; MULTIPLE DATA SOURCES; MULTIPLE MODALITIES; NEEDLE BIOPSY; NONLINEAR DIMENSIONALITY REDUCTION; ON DYNAMICS; PERSONALIZED MEDICINES; PREDICTING OUTCOMES; PROSTATE CANCERS; PROTEIN EXPRESSIONS; QUANTITATIVE IMAGE ANALYSIS; QUANTITATIVE IMAGES; RISK SCORE; RUTGERS UNIVERSITY;

EID: 77955221258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490264     Document Type: Conference Paper
Times cited : (7)

References (9)
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  • 3
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    • Basavanhally, A.1    Xu, J.2    Madabhushi, A.3    Ganesan, S.4
  • 4
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    • Graph embedding to improve supervised classification and novel class detection: Application to prostate cancer
    • A. Madabhushi, J. Shi, M. Rosen, J. Tomaszeweski, and M.D. Feldman, "Graph embedding to improve supervised classification and novel class detection: application to prostate cancer," in MICCAI, 2005, vol. 8(1), pp. 729-37.
    • (2005) MICCAI , vol.8 , Issue.1 , pp. 729-737
    • Madabhushi, A.1    Shi, J.2    Rosen, M.3    Tomaszeweski, J.4    Feldman, M.D.5
  • 7
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    • Automated grading of prostate cancer using architectural and textural image features
    • S. Doyle, M. Hwang, K. Shah, A. Madabhushi, M. Feldman, and J. Tomaszeweski, "Automated grading of prostate cancer using architectural and textural image features," in ISBI, 2007, pp. 1284-1287.
    • (2007) ISBI , pp. 1284-1287
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  • 8
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    • A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology
    • G. Lee, S. Doyle, J. Monaco, A. Madabhushi, M.D. Feldman, S.R. Master, and J.E. Tomaszewski, "A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology," in ISBI, 2009, pp. 77-80.
    • (2009) ISBI , pp. 77-80
    • Lee, G.1    Doyle, S.2    Monaco, J.3    Madabhushi, A.4    Feldman, M.D.5    Master, S.R.6    Tomaszewski, J.E.7
  • 9
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    • Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis
    • L. Cooper, O. Sertel, J. Kong, G. Lozanski, K. Huang, and M. Gurcan, "Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis," in Comput Methods Programs Biomed, 2009, vol. 96(3), pp. 182-93.
    • (2009) Comput Methods Programs Biomed , vol.96 , Issue.3 , pp. 182-193
    • Cooper, L.1    Sertel, O.2    Kong, J.3    Lozanski, G.4    Huang, K.5    Gurcan, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.