Title :
Detection of circumscribed masses in digital mammograms using behaviour-knowledge space method
Author :
Constantinidis, A.S. ; Fairhurst, M.C. ; Rahman, A.F.R.
Author_Institution :
Electron. Eng. Labs., Kent Univ., Canterbury, UK
fDate :
2/17/2000 12:00:00 AM
Abstract :
In classification applications where reliability and flexibility are priorities it is advantageous to adopt a processing configuration based on the combination of multiple classifiers. The application of classifier combination based on behaviour-knowledge space to the detection of circumscribed masses in mammographic X-ray images is discussed
Keywords :
diagnostic radiography; image classification; mammography; medical image processing; X-ray images; behaviour-knowledge space method; circumscribed masses; classification applications; digital mammograms; multiple classifiers; processing configuration;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000280
