Characterizing vascular connectivity from microCT images

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

Volumn 3750 LNCS, Issue , 2005, Pages 701-708

  Jackowski, Marcel ^a   Papademetris, Xenophon ^a,b   Dobrucki, Lawrence W ^a,c   Sinusas, Albert J ^a,c   Staib, Lawrence H ^a,b  

^a YALE UNIVERSITY   (United States)

^b Yale University   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSEL PHYSIOLOGY; MICROCT IMAGES; VASCULAR CONNECTIVITY; VESSEL TRAJECTORIES;

BIODIVERSITY; BIOLOGICAL ORGANS; BODY FLUIDS; CARDIOVASCULAR SYSTEM; COMPUTERIZED TOMOGRAPHY; DRUG THERAPY; PATHOLOGY; PHYSIOLOGY; WAVE PROPAGATION;

MEDICAL IMAGING;

ALGORITHM; ANGIOGRAPHY; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; IMAGE QUALITY; METHODOLOGY; MOUSE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANGIOGRAPHY; ANIMALS; ARTIFICIAL INTELLIGENCE; IMAGING, THREE-DIMENSIONAL; MICE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33744826020     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_86     Document Type: Conference Paper

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