Output details
11 - Computer Science and Informatics
University of South Wales
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Article title
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery
Type
D - Journal article
Title of journal
Machine Vision and Applications
Article number
-
Volume number
22
Issue number
5
First page of article
865
ISSN of journal
1432-1769
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
<28> This paper is the culmination of a research thread on improving the accuracy of needle biopsy classification for the detection of prostate tumours. The team's multispectral imaging method discriminated between various levels of malignancy, however the high dimensionality data generated by the method and the error rate remained significant challenges. These issues are addressed in this paper by using Round-Robin sequential forward selection algorithm for feature selection which is shown to yield over 99% accuracy on real biopsy data.
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Intelligent Systems
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
