Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery

BMC Cell Biology

Volumn 8, Issue SUPPL. 1, 2007, Pages

  Boucheron, Laura E ^a,b   Bi, Zhiqiang ^a   Harvey, Neal R ^b   Manjunath, B S ^a   Rimm, David L ^c  

^a University of California   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EOSIN; HEMATOXYLIN;

ARTICLE; CELL NUCLEUS; CLASSIFICATION; CLASSIFIER; CONTROLLED STUDY; DATA ANALYSIS; HISTOPATHOLOGY; HYPOTHESIS; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING; PRINCIPAL COMPONENT ANALYSIS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; ULTRASTRUCTURE;

ALGORITHMS; BREAST; BREAST NEOPLASMS; CELL NUCLEUS; HISTOLOGICAL TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY;

EID: 34548821283     PISSN: None     EISSN: 14712121     Source Type: Journal    
DOI: 10.1186/1471-2121-8-S1-S8     Document Type: Article

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