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IDA
2010
Springer

Fuzzy-rough approaches for mammographic risk analysis

9 years 1 months ago
Fuzzy-rough approaches for mammographic risk analysis
The accuracy of methods for the assessment of mammographic risk analysis is heavily related to breast tissue characteristics. Previous work has demonstrated considerable success in developing an automatic breast tissue classification methodology which overcomes this difficulty. This paper proposes a unified approach for the application of a number of rough and fuzzy-rough set methods to the analysis of mammographic data. Indeed this is the first time that fuzzy-rough approaches have been applied to this particular problem domain. In the unified approach detailed here feature selection methods are employed for dimensionality reduction developed using rough sets and fuzzy-rough sets. A number of classifiers are then used to examine the data reduced by the feature selection approaches and assess the positive impact of these methods on classification accuracy. Additionally, this paper also proposes a new fuzzy-rough classifier based on the nearest neighbour classification algorith...
Neil MacParthalain, Richard Jensen, Qiang Shen, Re
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where IDA
Authors Neil MacParthalain, Richard Jensen, Qiang Shen, Reyer Zwiggelaar
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