Integrated segmentation and interpolation of sparse data

IEEE Transactions on Image Processing

Volumn 23, Issue 1, 2014, Pages 110-125

  Paiement, Adeline ^a   Mirmehdi, Majid ^a   Xie, Xianghua ^b   Hamilton, Mark C K ^c  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b SWANSEA UNIVERSITY   (United Kingdom)

^c The National Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections at University College London in partnership with UK Health Security Agency   (United Kingdom)

Author keywords

3D 4D object modeling; interpolation; level set methods; RBF; segmentation

Indexed keywords

INTEGRATED FRAMEWORKS; INTEGRATED SEGMENTATION; LEVEL SET METHOD; OBJECT MODEL; RADIAL BASIS FUNCTIONS; RBF; SEGMENTATION INFORMATIONS; SPATIAL CONFIGURATION;

IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; NUMERICAL METHODS; RADIAL BASIS FUNCTION NETWORKS; THREE DIMENSIONAL;

INTERPOLATION;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SYSTEM ANALYSIS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SYSTEMS INTEGRATION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84888271134     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2286903     Document Type: Article

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