Reusability of statistical shape models for the segmentation of severely abnormal hearts

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

Volumn 8896, Issue , 2015, Pages 257-264

  Albà, Xènia ^a   Lekadir, Karim ^a   Hoogendoorn, Corné ^a   Pereanez, Marco ^a   Swift, Andrew J ^b   Wild, Jim M ^b   Frangi, Alejandro F ^b  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; MEDICAL IMAGING; POPULATION STATISTICS; REUSABILITY; STATISTICS;

CARDIAC IMAGE SEGMENTATION; NORMAL ANATOMY; PATHOLOGICAL IMAGES; PULMONARY HYPERTENSION; SEGMENTATION PROCESS; STATISTICAL MODELING; STATISTICAL SHAPE MODEL; TRAINING DATABASE;

IMAGE SEGMENTATION;

EID: 84927784745     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-14678-2_27     Document Type: Conference Paper

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