Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7005 LNCS, Issue , 2011, Pages 250-260

  Gönen, Mehmet ^a   Ulaş, Aydin ^b   Schüffler, Peter ^c   Castellani, Umberto ^b   Murino, Vittorio ^b,d  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF VERONA   (Italy)

^c ETH ZURICH   (Switzerland)

^d ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

multiple kernel learning; renal cell carcinoma; support vector machines

Indexed keywords

CELL NUCLEUS; COMPETING ALGORITHMS; DATA SOURCE; FEATURE REPRESENTATION; KERNEL FUNCTION; MULTIPLE KERNEL LEARNING; RENAL CELL CARCINOMA; SIMILARITY MEASURE; SUPPORT VECTOR; TISSUE MICROARRAYS;

CELLS; IMAGE MATCHING; LEARNING ALGORITHMS; PATTERN RECOGNITION; TISSUE;

SUPPORT VECTOR MACHINES;

EID: 80053367605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24471-1_18     Document Type: Conference Paper

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