Pattern recognition on 2D cervical cytological digital images for early detection of cervix cancer

2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Volumn , Issue , 2009, Pages 257-262

  Suryatenggara, Jeremiah ^a   Ane, Bernadetta Kwintiana ^a   Pandjaitan, Maruli ^a   Steinberg, Winfried ^b  

^a Swiss German University   (Indonesia)

^b Klinik Kloster Paradiese   (Germany)

Author keywords

Classification; Color intensity; N C ratio; Pattern recognition; Wavelet approximation coefficients

Indexed keywords

AUTOMATED RECOGNITION; AUTOMATIC IDENTIFICATION; CANCEROUS CELLS; CERVIX CANCERS; CLASSIFICATION; COLOR INTENSITY; DIGITAL IMAGE; EARLY DETECTION; HUMAN ERRORS; INDONESIA; MORPHOLOGICAL FEATURES; PAP SMEAR; SCREENING METHODS; THREE PARAMETERS; UTERINE CERVIX; WAVELET APPROXIMATIONS;

AUTOMATION; CYTOLOGY; ELECTRONIC DATA INTERCHANGE; ERRORS; PATTERN RECOGNITION;

COLOR;

EID: 77949603670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2009.5393710     Document Type: Conference Paper

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