Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs

Medical Image Analysis

Volumn 18, Issue 4, 2014, Pages 647-659

  Parisot, Sarah ^d   Wells, William ^e,f   Chemouny, Stéphane ^c   Duffau, Hugues ^g   Paragios, Nikos ^a,b  

^a Center for Visual Computing   (France)

^b INRIA SACLAY   (France)

^c Intrasense SAS   (France)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^g GUI DE CHAULIAC HOSPITAL   (France)

Author keywords

Brain tumors; Concurrent segmentation registration; Markov Random Fields; Min marginals

Indexed keywords

BRAIN; IMPORTANCE SAMPLING; MARKOV PROCESSES; TUMORS;

BRAIN TUMOR SEGMENTATION; BRAIN TUMORS; CONCURRENT SEGMENTATION/REGISTRATION; MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELDS; MIN-MARGINALS; PATTERN CLASSIFICATION TECHNIQUES; REGISTRATION PROBLEMS;

IMAGE SEGMENTATION;

ALGORITHM; ANISOTROPY; ARTICLE; ATLAS; BRAIN SIZE; DATA BASE; GLIOMA; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; PRIORITY JOURNAL; SAMPLING; SCORING SYSTEM; VISUAL INFORMATION; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES;

BRAIN; BRAIN NEOPLASMS; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED;

EID: 84897554586     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.02.006     Document Type: Article

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