Modeling, definition and applications of histogram features based on DNA values weighed by sine functions

Analytical and Quantitative Cytology and Histology

Volumn 19, Issue 5, 1997, Pages 443-452

  Schenck, Ulrich ^a   Jütting, Uta ^b   Rodenacker, Karsten ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

Breast neoplasms; DNA; Image cytometry; Sine function

Indexed keywords

DNA; ESTROGEN RECEPTOR;

ANEUPLOIDY; ARTICLE; BREAST CARCINOMA; CALCULATION; CONTROLLED STUDY; DIPLOIDY; ESOPHAGUS CARCINOMA; HISTOGRAM; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; PLOIDY; POLYPLOIDY; PRIORITY JOURNAL; SQUAMOUS CELL CARCINOMA;

BREAST NEOPLASMS; CARCINOMA, SQUAMOUS CELL; DNA, NEOPLASM; FEMALE; HUMANS; MATHEMATICAL COMPUTING; MODELS, THEORETICAL; PLOIDIES; PROGNOSIS; RECEPTORS, ESTROGEN;

EID: 1842367286     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

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