Towards rapid cervical cancer diagnosis: Automated detection and classification of pathologic cells in phase-contrast images

International Journal of Gynecological Cancer

Volumn 17, Issue 1, 2007, Pages 118-126

  Schilling, T ^a   Miroslaw, L ^b   Glab, G ^c   Smereka, M ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c Center of Obgyn Diagnostic GMW P Co   (Poland)

Author keywords

Automated cell detection; Cell segmentation; Cervical cancer diagnosis; Cytological smears; Image processing; Phase contrast microscopy; Statistical geometrical features; Texture features; Texture segmentation

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CANCER DIAGNOSIS; CELL NUCLEUS; CELL SHAPE; CELL STRUCTURE; CONTROLLED STUDY; CYTOPATHOLOGY; EPITHELIUM CELL; GEOMETRY; HUMAN; HUMAN CELL; INTERMETHOD COMPARISON; LINEAR SYSTEM; PAPANICOLAOU TEST; PHASE CONTRAST MICROSCOPY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; UTERINE CERVIX CANCER; UTERINE CERVIX CYTOLOGY;

ALGORITHMS; CELL NUCLEUS; EPITHELIAL CELLS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, PHASE-CONTRAST; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 33846845101     PISSN: 1048891X     EISSN: 15251438     Source Type: Journal    
DOI: 10.1111/j.1525-1438.2007.00828.x     Document Type: Article

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