A unified model-based image analysis framework for automated detection of precancerous lesions in digitized uterine cervix images

IEEE Journal on Selected Topics in Signal Processing

Volumn 3, Issue 1, 2009, Pages 101-111

  Srinivasan, Yeshwanth ^a   Corona, Enrique ^b   Nutter, Brian ^b   Mitra, Sunanda ^b   Bhattacharya, Sonal ^b  

^a Ambrado Inc   (United States)

^b Texas Tech University   (United States)

Author keywords

Cervical cancer; Cervical intraepithelial neoplasia; Expectation maximization algorithm; Gaussian mixture model; Rate distortion theory

Indexed keywords

BLIND SOURCE SEPARATION; CLUSTERING ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); ELECTRIC DISTORTION; FILMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; MATHEMATICAL MORPHOLOGY; MAXIMUM PRINCIPLE; MIXTURES; MOTION ESTIMATION; OBJECT RECOGNITION; OPTIMIZATION; SIGNAL DISTORTION; TEXTURES; TRELLIS CODES;

CERVICAL CANCER; CERVICAL INTRAEPITHELIAL NEOPLASIA; EXPECTATION-MAXIMIZATION ALGORITHM; GAUSSIAN MIXTURE MODEL; RATE-DISTORTION THEORY;

MATHEMATICAL MODELS;

EID: 62349119542     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2008.2011102     Document Type: Article

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