Manifold alignment and transfer learning for classification of alzheimer’s disease

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

Volumn 8679, Issue , 2014, Pages 77-84

  Guerrero, Ricardo ^a   Ledig, Christian ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ACQUISITION; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; SAMPLING; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED INSTRUCTION; LEARNING SYSTEMS;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; LAPLACIAN EIGENMAPS; LOW-DIMENSIONAL REPRESENTATION; MANIFOLD ALIGNMENTS; REGION OF INTEREST; STATE-OF-THE-ART APPROACH; VARIABLE SELECTION;

CLASSIFICATION (OF INFORMATION); MEDICAL IMAGING;

EID: 84921739238     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10581-9_10     Document Type: Article

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