Integration of color and boundary information for improved region of interest identification in electron magnetic resonance images

Computerized Medical Imaging and Graphics

Volumn 28, Issue 8, 2004, Pages 445-452

  Durairaj, D Christopher ^a   Krishna, Murali C ^b   Murugesan, R ^c  

^a VHNSN COLLEGE   (India)

^b NATIONAL CANCER INSTITUTE   (United States)

^c MADURAI KAMARAJ UNIVERSITY   (India)

Author keywords

Border detection; Clustering technique; Color image segmentation; Electron magnetic resonance images; Feature identification

Indexed keywords

COLOR QUANTIZATION; ELECTRON MAGNETIC RESONANCE (EMR) IMAGES; REGIONS OF INTEREST (ROI); SPHERICAL COORDINATES TRANSFORM (SCT);

ALGORITHMS; BOUNDARY CONDITIONS; COLOR IMAGE PROCESSING; IMAGE SEGMENTATION; LAPLACE TRANSFORMS; OBJECT ORIENTED PROGRAMMING;

MAGNETIC RESONANCE IMAGING;

1 ACETOXY 3 METHOXYCARBONYL 2,2,5,5 TETRAMETHYLPYRROLIDINE; CONTRAST MEDIUM; UNCLASSIFIED DRUG;

ALGORITHM; ANIMAL MODEL; ARTICLE; BLADDER; COLOR; ELECTRON SPIN RESONANCE; KIDNEY; MOUSE; NONHUMAN; PRIORITY JOURNAL; TUMOR;

ANIMALS; COLOR; CONTRAST MEDIA; HINDLIMB; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MICE; NEOPLASMS; SYSTEMS INTEGRATION;

EID: 8444249645     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2004.07.006     Document Type: Article

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