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Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms
นักวิจัย : McLeod, Peter. , Verma, Brijesh.
คำค้น : Breast , Not a CQU Research Flagship , 700102 Application tools and system utilities , 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic , 280207 Pattern Recognition , 280208 Computer Vision , Neural networks (Computer science) , Pattern recognition systems. , K-means clustering -- Least qquare based training --- Neural network -- Digital mammography
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2550
อ้างอิง : http://hdl.cqu.edu.au/10018/12671 , http://dx.doi.org/10.1109/ICCIMA.2007.327 , cqu:2778
ที่มา : McLeod, P & Verma, B 2007, 'Clustering and least square based neural technique for learning', International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) India, 13-15 December 2007, IEEE Computer Society, vol. 2, pp. 190-194. http://dx.doi.org/10.1109/ICCIMA.2007.327 (viewed 8/5/2008)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of International Conference on Computational Intelligence and Multimedia Applications (ICCIMA), Sivakasi, Tamil Nadu, India, 13-15 December 2007 U.S.A. : IEEE Computer Society, 2007. Vol. 2, p.190-194 5 pages Refereed 0769530508 , aCQUIRe [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents a technique which explores the fusion of clustering and a least square method for the classification of suspicious areas within digital mammograms into benign and malignant classes. It incorporates clustering algorithm such as k-means in conjunction with a gram-schmidt based least square method. The main focus of the research presented in this paper is to (1) improve the classification of features from suspicious areas within digital mammograms and (2) examine the effects that the determined clusters and least square methods have on classification accuracy and efficiency. The proposed technique has been tested on a benchmark database and the results from preliminary experiments are discussed.

บรรณานุกรม :
McLeod, Peter. , Verma, Brijesh. . (2550). Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms.
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. . 2550. "Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms".
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. . "Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2550. Print.
McLeod, Peter. , Verma, Brijesh. . Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms. กรุงเทพมหานคร : Central Queensland University, Australia; 2550.