Automated identification of cancerous smears using various competitive intelligent techniques

Oncology Reports

Volumn 15, Issue 4, 2006, Pages 1001-1006

  Dounias, Georgios ^a   Bjerregaard, B ^b   Jantzen, J ^c   Tsakonas, A ^d   Ampazis, N ^a   Panagi, G ^e   Panourgias, E ^f  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^d ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^e General Hospital of Chios   (Greece)

^f Athens Euroclinic   (Greece)

Author keywords

ANFIS; Clustering; Computational intelligence; Computer assisted pap smear diagnosis; Feature selection; Genetic programming; Inductive machine learning; Nearest neighbor classification; Neuro fuzzy systems; Second order neural networks

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATION; COMPUTER PROGRAM; FEMALE; FUZZY LOGIC; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS; UTERINE CERVIX TUMOR; VAGINA SMEAR;

ARTIFICIAL INTELLIGENCE; AUTOMATION; FEMALE; FUZZY LOGIC; HUMANS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 33645784344     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.15.4.1001     Document Type: Article

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