Markov random field driven region-based active contour model (MaRACel): Application to medical image segmentation

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 197-204

  Xu, Jun ^a   Monaco, James P ^a   Madabhushi, Anant ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

breast cancer; digital pathology; medical imaging; MRI; prostate cancer; Segmentation

Indexed keywords

BREAST CANCER; DIGITAL PATHOLOGY; MRI; PROSTATE CANCERS; SEGMENTATION;

BIOPSY; DISEASES; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; PATHOLOGY; STRUCTURAL FRAMES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BREAST NEOPLASMS; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84860703976     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_25     Document Type: Conference Paper

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