Computer vision approach to morphometric feature analysis of basal cell nuclei for evaluating malignant potentiality of oral submucous fibrosis

Journal of Medical Systems

Volumn 36, Issue 3, 2012, Pages 1745-1756

  Krishnan, M Muthu Rama ^a   Pal, Mousumi ^b   Paul, Ranjan Rashmi ^b   Chakraborty, Chandan ^a   Chatterjee, Jyotirmoy ^a   Ray, Ajoy K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b Guru Nanak Institute of Dental Sciences and Research   (India)

Author keywords

Cellular pleomorphism; Color deconvolution; Dysplasia; Feature extraction; Fuzzy divergence; Microscopic image analysis; Nuclear pleomorphism; Oral submucous fibrosis; Parabola fitting; Zernike moments

Indexed keywords

ACCURACY; ADULT; ARTICLE; BASAL CELL; BAYES THEOREM; CELL ACTIVITY; CELL FUNCTION; CELL NUCLEUS; CLINICAL ARTICLE; COMPUTER ANALYSIS; CONTROLLED STUDY; DYSPLASIA; HUMAN; HUMAN CELL; HUMAN TISSUE; MORPHOMETRICS; MOUTH DISEASE; NUCLEAR SHAPE; NUCLEAR SIZE; PRECANCER; PREDICTIVE VALUE; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; STAINING;

ALGORITHMS; BAYES THEOREM; CELL NUCLEUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INDIA; NEOPLASMS, BASAL CELL; ORAL SUBMUCOUS FIBROSIS;

EID: 84864036869     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9634-5     Document Type: Article

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