A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity

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

Volumn 8184 LNCS, Issue , 2013, Pages 49-56

  Van Opbroek, Annegreet ^a   Ikram, M Arfan ^a   Vernooij, Meike W ^a   De Bruijne, Marleen ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL IMAGING; SCANNING;

BIOMEDICAL IMAGE SEGMENTATION; IMPORTANCE WEIGHTS; KULLBACK LEIBLER DIVERGENCE; LABELED TRAINING DATA; MEAN CLASSIFICATION; SEGMENTATION ALGORITHMS; TRAINING DATA; TRAINING IMAGE;

IMAGE SEGMENTATION;

EID: 84886732208     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-02267-3_7     Document Type: Conference Paper

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