A knowledge-based technique for liver segmentation in CT data

Computerized Medical Imaging and Graphics

Volumn 33, Issue 8, 2009, Pages 567-587

  Foruzan, Amir H ^a   Zoroofi, Reza A ^a   Hori, Masatoshi ^b   Sato, Yoshinobu ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Adaptive thresholding; Knowledge based segmentation; Liver boundary detection; Liver initial contour; Liver segmentation

Indexed keywords

ADAPTIVE THRESHOLDING; CLINICAL PRACTICES; CONVENTIONAL APPROACH; CT DATA; DATA SETS; HEURISTIC TECHNIQUES; KNOWLEDGE-BASED SEGMENTATION; LIVER CANCERS; LIVER SEGMENTATION; MORPHOLOGICAL FILTERS; MULTI-SLICE CT IMAGE; MULTI-STEP; QUANTITATIVE EVALUATION; THRESHOLDING;

COMPUTERIZED TOMOGRAPHY; HEURISTIC METHODS; HISTOLOGY; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS;

LIVER;

ACCURACY; ALGORITHM; ANATOMY; ARTICLE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; LIVER CANCER; LIVER SIZE; LIVER STRUCTURE; MULTIDETECTOR COMPUTED TOMOGRAPHY; PATIENT CARE PLANNING; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

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

EID: 70350125920     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.03.008     Document Type: Article

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