Prognostic comparison of statistical, neural and fuzzy methods of analysis of breast cancer image cytometric data

Annual Reports of the Research Reactor Institute, Kyoto University

Volumn 4, Issue , 2001, Pages 3811-3814

  Seker, H ^a   Odetayo, M ^a   Petrovic, D ^a   Naguib, R N G ^a   Bartoli, C ^a   Alasio, L ^a   Lakshmi, M S ^a   Sherbet, G V ^a  

^a Institute for Clean Growth and Future Mobility   (United Kingdom)

Author keywords

Artificial neural networks; Fine needle aspirates; Fuzzy K nearest neighbour classifier; Knowledge based systems; Logistic regression; Oncology; Survival analysis

Indexed keywords

EID: 0035782439     PISSN: 04549244     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)