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Volumn , Issue , 2011, Pages 32-37

Using some data mining techniques for earlydiagnosis of Lung cancer

Author keywords

Association rule mining; Classification; Data mining; Early cancer diagnosing; Image recognition; Medical imaging; Neural networks

Indexed keywords

ASSOCIATION RULE MINING; CLASSIFICATION METHODS; DATA MINING TECHNIQUES; DATA PREPROCESSING; EARLY CANCER; LUNG CANCER; MACHINE LEARNING METHODS; MEDICAL DECISION MAKING; MEDICAL IMAGE MININGS; MEDICAL IMAGES; MULTIMEDIA DATABASE; NORMAL STATE; PATIENT STATE; RECOGNITION METHODS; RULE GENERATION;

EID: 79958714444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (10)
  • 3
    • 33745437989 scopus 로고    scopus 로고
    • Developed by the National Collaborating Centre for Acute Care ISBN: 1-84257-920-7, Published by the National Institute for Clinical Excellence February
    • Developed by the National Collaborating Centre for Acute Care, Lung cancer The diagnosis and treatment of lung cancer, ISBN: 1-84257-920-7, Published by the National Institute for Clinical Excellence February 2005. Page 4.
    • (2005) Lung Cancer the Diagnosis and Treatment of Lung Cancer , pp. 4
  • 4
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • ISSN 0143-1161 print/ISSN 1366-5901 online # 2007 Taylor & Francis
    • * and Q. WENG. A survey of image classification methods and techniques for improving Classification performance. International Journal of Remote Sensing ISSN 0143-1161 print/ISSN 1366-5901 online # 2007 Taylor & Francis, Page 829
    • International Journal of Remote Sensing , pp. 829
    • Lu, D.1    Weng, Q.2
  • 5
    • 79958750039 scopus 로고    scopus 로고
    • An approach for discretization and feature selection of continuous-valued attributes in medical images for classification learning
    • Dr. June 1793-8201
    • Jaba Sheela L and Dr.V. Shanthi An Approach for Discretization and Feature Selection Of Continuous-Valued Attributes in Medical Images for Classification Learning. International Journal of Computer Theory and Engineering, Vol. 1, No.2, June2009 1793-8201, Page 154.
    • (2009) International Journal of Computer Theory and Engineering , vol.1 , Issue.2 , pp. 154
    • Jaba Sheela, L.1    Shanthi, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.