ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms
นักวิจัย : McLeod, Peter. , Verma, Brijesh. , Park, Minyeop.
คำค้น : Applied research. , TBA. , 080108 Neural, Evolutionary and Fuzzy Computation. , 080109 Pattern Recognition and Data Mining. , Breast , Diagnostic imaging , Support vector machines. , Pattern recognition systems. , SVM Classifier -- Clustering -- Digital mammography
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/45256 , http://dx.doi.org/10.1109/ISSNIP.2009.5416794R
ที่มา : McLeod, P, Verma, B & Park, M 2009, 'Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms' in Marusic, S., Palaniswami, M., Gubbi, J., Law, Y. (eds.) Proceedings of International Conference on Intelligent Sensors, Sensor Networks and Information Processing. Melborne, Australia, 7-10 Dec. 2009 , pp. 185-189.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the 2009 Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009), Melbourne, Victoria, 7-10 December 2009 / S. Marusic, M. Palaniswam, J. Gubbi, Y.W. Law (eds.). NJ, USA. : IEEE, 2009. p. 185-189 5 pages Refereed 9781424435180 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents a novel technique which is the amalgamation of a clustering mechanism and a Support Vector Machine classifier. The technique is called Soft Clustering based Support Vector Machine and is designed to provide a fast converging network with good generalization ability leading to an appropriate classification as a benign or malignant class for the classification of suspicious areas in digital mammograms. The proposed technique has been evaluated on a benchmark database. The experimental results and analysis of results are included in this paper.

บรรณานุกรม :
McLeod, Peter. , Verma, Brijesh. , Park, Minyeop. . (2552). Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms.
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. , Park, Minyeop. . 2552. "Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms".
    กรุงเทพมหานคร : Central Queensland University, Australia.
McLeod, Peter. , Verma, Brijesh. , Park, Minyeop. . "Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
McLeod, Peter. , Verma, Brijesh. , Park, Minyeop. . Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.