Inter-operator variability in perfusion assessment of tumors in MRI using automated AIF detection

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

Volumn 3749 LNCS, Issue , 2005, Pages 451-458

  Ashton, Edward ^a   McShane, Teresa ^b   Evelhoch, Jeffrey ^c  

^a VirtualScopics LLC   (United States)

^b PFIZER INC   (United States)

^c AMGEN INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION; PLASMAS; TUMORS;

AUTOMATED AIF DETECTION; DYNAMIC CONTRAST; EXTRA-VASCULAR SPACE; PERFUSION ASSESSMENT;

MEDICAL IMAGING;

CONTRAST MEDIUM;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DOG; EVALUATION; EXPERIMENTAL NEOPLASM; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NEOVASCULARIZATION (PATHOLOGY); NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VASCULARIZATION;

ANIMALS; ARTIFICIAL INTELLIGENCE; CONTRAST MEDIA; DOGS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MAMMARY NEOPLASMS, ANIMAL; NEOVASCULARIZATION, PATHOLOGIC; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744794351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_56     Document Type: Conference Paper

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