ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

A hybrid classifier for mass classification with different kinds of features in mammography

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : A hybrid classifier for mass classification with different kinds of features in mammography
นักวิจัย : Zhang, Ping. , Kumar, K. , Verma, Brijesh.
คำค้น : 700102 Application tools and system utilities. , 280212 Neural Networks, Genetic Algorithms and Fuzzy Logic. , TBA. , 890202 Application Tools and System Utilities. , 8902 Computer Software and Services. , 89 Information and Communication Services. , 080108 Neural, Evolutionary and Fuzzy Computation. , 0801 Artificial Intelligence and Image Processing. , 08 Information and Computing Sciences. , Breast , Breast
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2548
อ้างอิง : http://hdl.cqu.edu.au/10018/25136 , cqu:3933
ที่มา : Zhang, P, Kumar, K & Verma, B 2005, 'A hybrid classifier for mass classification with different kinds of features in mammography', in Fuzzy systems and knowledge discovery : second international conference, FSKD 2005, Changsha, China, August 27-29, 2005 : proceedings, pp. 316-319.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Fuzzy systems and knowledge discovery : second international conference, FSKD 2005, Changsha, China, August 27-29, 2005 : proceedings. Germany. : Springer-Verlag, 2005. p. 316-319 4 pages Refereed 9783540283126 (pt. 1 : pbk.) 9783540283317 (pt. 2 : pbk.) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper proposes a hybrid system which combines computer extracted features and human interpreted features from the mammogram, with the statistical classifier's output as another kind of features in conjunction with a genetic neural network classifier. The hybrid system produced better results than the single statistical classifier and neural network. The highest classification rate reached 91.3%. The area value under the ROC curve is 0.962. The results indicated that the mixed features contribute greatly for the classification of mass patterns into benign and malignant.

บรรณานุกรม :
Zhang, Ping. , Kumar, K. , Verma, Brijesh. . (2548). A hybrid classifier for mass classification with different kinds of features in mammography.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zhang, Ping. , Kumar, K. , Verma, Brijesh. . 2548. "A hybrid classifier for mass classification with different kinds of features in mammography".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zhang, Ping. , Kumar, K. , Verma, Brijesh. . "A hybrid classifier for mass classification with different kinds of features in mammography."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2548. Print.
Zhang, Ping. , Kumar, K. , Verma, Brijesh. . A hybrid classifier for mass classification with different kinds of features in mammography. กรุงเทพมหานคร : Central Queensland University, Australia; 2548.