Liver segmentation approach using graph cuts and iteratively estimated shape and intensity constrains

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

Volumn 7511 LNCS, Issue , 2012, Pages 395-403

  Afifi, Ahmed ^a   Nakaguchi, Toshiya ^b  

^a Menoufia University   (Egypt)

^b CHIBA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; GRAPHIC METHODS; ITERATIVE METHODS; MEDICAL COMPUTING; MEDICAL IMAGING;

INTENSITY VARIATIONS; LIVER SEGMENTATION; MANUAL SEGMENTATION; MODEL CONSTRUCTION; PROCESSING TIME; SCORING SYSTEMS; STATISTICAL INFORMATION; USER INTERACTION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; LIVER DISEASE; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; LIVER DISEASES; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84988876978     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33418-4_49     Document Type: Conference Paper

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