Why does synthesized data improve multi-sequence classification

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

Volumn 9349, Issue , 2015, Pages 531-538

  van Tulder, Gijs ^a   de Bruijne, Marleen ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; DATA MINING; DECISION TREES; IMAGE CLASSIFICATION; LINEAR TRANSFORMATIONS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; SYNTHESIS (CHEMICAL);

BRAIN TUMOR SEGMENTATION; COMPLEX TRANSFORMATIONS; IMPROVE PERFORMANCE; LINEAR SUPPORT VECTOR MACHINES; MULTI-SEQUENCES; RESTRICTED BOLTZMANN MACHINE; SYNTHESIS METHOD; SYNTHESIS MODELS;

CLASSIFICATION (OF INFORMATION);

EID: 84947461520     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24553-9_65     Document Type: Chapter

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