Automated detection of circulating tumor cells with naive Bayesian classifiers

Cytometry Part A

Volumn 85, Issue 6, 2014, Pages 501-511

  Svensson, Carl Magnus ^a,b   Krusekopf, Solveigh ^c   Lücke, Jörg ^b,d,e   Thilo Figge, Marc ^a,f  

^a HANS KNÖLL INSTITUTE   (Germany)

^b FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

^c GILUPI GmbH   (Germany)

^d UNIVERSITY OF OLDENBURG   (Germany)

^e TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^f FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

Biomedical image processing; Cancer detection; Gaussian mixture model; Support vector machines

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; EARLY DIAGNOSIS; HUMAN; NEOPLASMS; PATHOLOGY; PERSONALIZED MEDICINE; PROCEDURES; SUPPORT VECTOR MACHINE; TUMOR EMBOLISM; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; EARLY DETECTION OF CANCER; HUMANS; INDIVIDUALIZED MEDICINE; NEOPLASMS; NEOPLASTIC CELLS, CIRCULATING; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINES;

EID: 84901410582     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22471     Document Type: Article

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