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Volumn 39, Issue , 2014, Pages 79-88

A multi-parametric diffusion magnetic resonance imaging texture feature model for prostate cancer analysis

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIFFUSION; DISEASES; MEDICAL IMAGING; TEXTURES; UROLOGY;

EID: 84929465210     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-3-319-11182-7_8     Document Type: Conference Paper
Times cited : (9)

References (21)
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    • Langer, D.L., van der Kwast, T.H., Evans, A.J., Plotkin, A., Trachtenberg, J., Wilson, B.C., Haider, M.H.: Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K-trans, v(e), and corresponding histologic features. Radiology 255(2), 485-494 (2010)
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    • Liu, X., Langer, D.L., Haider, M.A., Yang, Y., Wernick, M.N., Yetik, I.S.: Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class. IEEE Trans. Med. Imaging 28(6), 906-915 (2009)
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    • Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging
    • IEEE
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.