Clinical study of quantitative diagnosis of early cervical cancer based on the classification of acetowhitening kinetics

Journal of Biomedical Optics

Volumn 15, Issue 2, 2010, Pages

  Wu, Tao ^a,c   Cheung, Tak Hong ^b   Yim, So Fan ^b   Qu, Jianan Y ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Acetowhitening; Cervical cancer; Principal component analysis; Support vector machine

Indexed keywords

ACETOWHITENING; ACTIVE STEREO VISION; CERVICAL CANCERS; CERVICAL INTRAEPITHELIAL NEOPLASIAS; CLINICAL STUDY; CROSS-VALIDATION METHODS; DIAGNOSTIC ALGORITHMS; DIAGNOSTIC INFORMATION; EARLY DETECTION; HUMAN PAPILLOMAVIRUS; HUMAN SUBJECTS; IMAGING TECHNOLOGY; IN-VIVO; MOTION TRACKING; NORMAL TISSUE; PRINCIPAL COMPONENTS; STATISTICAL ALGORITHM; SUPPORT VECTOR;

ALGORITHMS; DIAGNOSIS; IMAGING SYSTEMS; KINETICS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STEREO VISION; TISSUE;

DISEASES;

HUMAN PAPILLOMAVIRUS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COLPOSCOPY; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; KINETICS; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; UTERINE CERVIX TUMOR;

ALGORITHMS; COLPOSCOPY; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KINETICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; UTERINE CERVICAL NEOPLASMS;

EID: 77956620747     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3365940     Document Type: Article

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