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Volumn , Issue , 2005, Pages 384-387

Study on texture analysis of renal cell carcinoma nuclei based on the fuhrman grading system

Author keywords

Biomedical Image Processing; Feature Extraction; Image Classification; Image Texture Analysis

Indexed keywords

BIOMEDICAL ENGINEERING; CARCINOGENS; CELLS; FEATURE EXTRACTION; TEXTURES;

EID: 33745256213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HEALTH.2005.1500487     Document Type: Conference Paper
Times cited : (11)

References (11)
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  • 2
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  • 3
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    • An image analysis study on nuclear morphology in metastasized and non-metastasized squamous cell carcinomas of the tongue
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    • Hannen, E.J.M.1    Van Der Laak, J.A.W.M.2
  • 4
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    • Nuclear texture and sensitiveity to DNasc I in human leukaemic CEM cells incubated with nanomolar okadaic acid
    • S. Yatouji, F. Liautaud-Roger and J.Dufer, "Nuclear texture and sensitiveity to DNasc I in human leukaemic CEM cells incubated with nanomolar okadaic acid." Cell prolif. Vol.33: pp.51-62, 2000
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    • Yatouji, S.1    Liautaud-Roger, F.2    Dufer, J.3
  • 6
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    • Wavelet as chromatin lexture descriptors for the automated identification of neoplastic nuclei
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  • 7
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    • A feature set for cytometry on digitized microscopic images
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  • 8
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  • 9
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  • 10
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  • 11
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    • Applied multivariate statistical analysis, fifth ed
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.