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Impact of soft clustering on classification of suspicious areas in digital mammograms

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Impact of soft clustering on classification of suspicious areas in digital mammograms
นักวิจัย : McLeod, Peter. , Verma, Brijesh.
คำค้น : Applied research. , 890202 Application Tools and System Utilities. , 920203 Diagnostic Methods. , 080109 Pattern Recognition and Data Mining. , 080108 Neural, Evolutionary and Fuzzy Computation. , Breast , Diagnostic imaging , Pattern recognition systems. , Neural networks (Computer science) , Soft clustering -- Pattern classification -- Digital mammography -- Neural networks
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2551
อ้างอิง : http://hdl.cqu.edu.au/10018/28475 , http://dx.doi.org/10.1109/ISSNIP.2008.4761971. , cqu:4357
ที่มา : McLeod, P & Verma, B 2008, 'Impact of soft clustering on classification of suspicious areas in digital mammograms', paper presented at the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, Australia. http://dx.doi.org/10.1109/ISSNIP.2008.4761971
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2008), 15-18 December 2008, Sydney, Australia. USA. : IEEE, 2008. p. 109-114 6 pages Refereed 9781424429578 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper investigates a soft cluster based approach for determining the impact of soft clustering on the training of a neural network classifier for the classification of suspicious areas in digital mammograms. An approach is proposed that first creates soft clusters for each available class and then uses soft clusters to form subclasses within benign and malignant classes. The incorporation of soft clusters in the classification process is designed to increase the learning abilities and improve the accuracy of the classification system. The experiments using soft clusters based proposed approach and a standard neural network classifier have been conducted on a benchmark database. The results have been analysed and presented in this paper.

บรรณานุกรม :
McLeod, Peter. , Verma, Brijesh. . (2551). Impact of soft clustering on classification of suspicious areas in digital mammograms.
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. . 2551. "Impact of soft clustering on classification of suspicious areas in digital mammograms".
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. . "Impact of soft clustering on classification of suspicious areas in digital mammograms."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2551. Print.
McLeod, Peter. , Verma, Brijesh. . Impact of soft clustering on classification of suspicious areas in digital mammograms. กรุงเทพมหานคร : Central Queensland University, Australia; 2551.