Automated detection and analysis of fluorescent in situ hybridization spots depicted in digital microscopic images of Pap-smear specimens

Journal of Biomedical Optics

Volumn 14, Issue 2, 2009, Pages

  Wang, Xingwei ^a   Zheng, Bin ^b   Li, Shibo ^c   Zhang, Roy ^c   Mulvihill, John J ^c   Chen, Wei R ^d   Liu, Hong ^a,e  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF OKLAHOMA HEALTH SCIENCES CENTER   (United States)

^d UNIVERSITY OF CENTRAL OKLAHOMA   (United States)

^e Department of Physics and Engineering ^*  (United States)

Author keywords

Cervical cancer screening; Computer aided detection; Fluorescence in situ hybridization; Optics fluorescence

Indexed keywords

CELLS; CYTOLOGY; DISEASES; FISH; FLUORESCENCE; FLUORESCENCE MICROSCOPY; KNOWLEDGE BASED SYSTEMS;

BIOMEDICAL OPTICAL IMAGING; CERVICAL CANCERS; COMPUTER AIDED DETECTION; DETECTION EFFICIENCY; DIGITAL MICROSCOPIC IMAGES; FEATURE-BASED CLASSIFICATION; FLUORESCENCE IN SITU HYBRIDIZATION; FLUORESCENT IN SITU HYBRIDIZATION;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; FLUORESCENCE IN SITU HYBRIDIZATION; FLUORESCENCE MICROSCOPY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; UTERINE CERVIX TUMOR; VAGINA SMEAR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IN SITU HYBRIDIZATION, FLUORESCENCE; MICROSCOPY, FLUORESCENCE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 62149097129     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3081545     Document Type: Article

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