Multi-atlas segmentation of biomedical images: A survey

Medical Image Analysis

Volumn 24, Issue 1, 2015, Pages 205-219

  Iglesias, Juan Eugenio ^a   Sabuncu, Mert R ^b  

^a BASQUE CENTER ON COGNITION   (Spain)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Label fusion; Multi atlas segmentation; Survey

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER HARDWARE; COMPUTER VISION; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL APPLICATIONS; SURVEYING; SURVEYS;

AVERAGE REPRESENTATION; BIOMEDICAL APPLICATIONS; BIOMEDICAL IMAGE SEGMENTATION; IMAGE-PROCESSING SOFTWARE; LABEL FUSIONS; PROBABILISTIC MODELING; SEGMENTATION ACCURACY; SEGMENTATION TECHNIQUES;

IMAGE SEGMENTATION;

ALGORITHM; ANATOMICAL CONCEPTS; ANATOMICAL VARIATION; ARTICLE; COMPUTER PROGRAM; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MACHINE LEARNING; MULTI ATLAS SEGMENTATION; PRIORITY JOURNAL; REGISTRATION; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; IMAGE SUBTRACTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84937215853     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2015.06.012     Document Type: Article

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