Neighbourhood approximation using randomized forests

Medical Image Analysis

Volumn 17, Issue 7, 2013, Pages 790-804

  Konukoglu, Ender ^a   Glocker, Ben ^b   Zikic, Darko ^b   Criminisi, Antonio ^b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Approximate nearest neighbours; Image based regression; Patch based segmentation; Random decision forests; Supervised neighbour search

Indexed keywords

ANNOTATED DATABASE; APPEARANCE BASED; DECISION FOREST; EXPERIMENTAL EVALUATION; IMAGE-BASED; NEAREST NEIGHBOUR; SEMANTIC INFORMATION; SUPERVISED NEIGHBOUR SEARCH;

COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; DECISION TREES; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; SEMANTICS;

FORESTRY;

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; DATA BASE; DIAGNOSTIC IMAGING; HUMAN; IMAGE ANALYSIS; LEARNING ALGORITHM; NEIGHBORHOOD APPROXIMATION FOREST; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PRIORITY JOURNAL; SEMANTICS;

APPROXIMATE NEAREST NEIGHBOURS; IMAGE-BASED REGRESSION; PATCH-BASED SEGMENTATION; RANDOM DECISION FORESTS; SUPERVISED NEIGHBOUR SEARCH;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

DATA BASES; DECISION MAKING; FORESTS; IMAGE ANALYSIS; MAGNETIC RESONANCE; REGRESSION ANALYSIS;

EID: 84879879457     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.04.013     Document Type: Article

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