Segmentation of cerebrovascular pathologies in stroke patients with spatial and shape priors

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

Volumn 8674 LNCS, Issue PART 2, 2014, Pages 773-780

  Dalca, Adrian Vasile ^a   Sridharan, Ramesh ^a   Cloonan, Lisa ^b   Fitzpatrick, Kaitlin M ^b   Kanakis, Allison ^b   Furie, Karen L ^c   Rosand, Jonathan ^b   Wu, Ona ^b   Sabuncu, Mert ^d   Rost, Natalia S ^b   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c BROWN UNIVERSITY   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; INFERENCE ENGINES; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; PATHOLOGY;

AUTOMATIC SEGMENTATIONS; CEREBRAL ISCHEMIA; CLINICAL IMAGES; CLINICAL OUTCOME; GENERATIVE MODEL; INFERENCE ALGORITHM; SEGMENTATION ALGORITHMS; SPATIAL PATTERNS; STROKE PATIENTS;

PATHOLOGY; IMAGE SEGMENTATION;

ALGORITHM; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LEUKOARAIOSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STROKE;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEUKOARAIOSIS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE; SUBTRACTION TECHNIQUE;

EID: 84964314670     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10470-6_96     Document Type: Conference Paper

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