Liver registration for the follow-up of hepatic tumors

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

Volumn 3750 LNCS, Issue , 2005, Pages 155-162

  Charnoz, Arnaud ^a,c   Agnus, Vincent ^a   Malandain, Grégoire ^b   Forest, Clément ^a   Tajine, Mohamed ^c   Soler, Luc ^a  

^a IRCAD   (France)

^b INRIA   (France)

^c Faculté de Médecine   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BIFURCATION (MATHEMATICS); BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; MATHEMATICAL MODELS; MEDICAL IMAGING; PATIENT TREATMENT; TREES (MATHEMATICS); TUMORS;

HEPATIC TUMORS; LIVER DEFORMATION; LIVER RECOVERY; SEGMENTATION PROBLEMS; VASCULAR SYSTEM;

BIOMEDICAL ENGINEERING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; FOLLOW UP; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LIVER TUMOR; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; TREATMENT OUTCOME; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FOLLOW-UP STUDIES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LIVER NEOPLASMS; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED; TREATMENT OUTCOME;

EID: 33744816519     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_20     Document Type: Conference Paper

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