Prediction of brain MR scans in longitudinal tumor follow-up studies

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

Volumn 7511 LNCS, Issue , 2012, Pages 179-187

  Weizman, Lior ^a   Ben Sira, Liat ^b   Joskowicz, Leo ^a   Aizenstein, Orna ^b   Shofty, Ben ^b   Constantini, Shlomi ^b   Ben Bashat, Dafna ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; MEDICAL IMAGING;

FOLLOW-UP STUDIES; GLIOBLASTOMAS MULTIFORMA; PATIENT SPECIFIC; TIME POINTS; TUMOR GROWTH; TUMOR GROWTH MODELING; TUMOR VOLUMES; USER INTERVENTION;

TUMORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; FOLLOW UP; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84988876994     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33418-4_23     Document Type: Conference Paper

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