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http://hdl.handle.net/20.500.12358/25072
TitleFuzzy rough set approach for selecting the most significant texture features in mammogram images
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Abstract

Breast cancer is one of the most deadly related diseases in women across the world. The survival rate among the patients with the breast cancer will increase, if the disease is detected earlier. Mammogram analysis is one of the most promising methods that are being used in the early detection and abnormality classification of the breast cancer. Irrelevant and noisy features extracted from mammogram image often mislead the learning processes and also have negative impact on the quality of classification process. Therefore, this paper proposed the use of Fuzzy Rough Set Method to select the most significant texture features from mammogram images. Selected features are employed to build a more easy and understandable learning model in order to improve the classification quality of mammogram analysis systems. The results show that the proposed method selects the appropriate subset of features that are …

Authors
Alijla, Basem O
Khader, Ahamad Tajudin
Peng, Lim Chee
Al-Betar, Mohammed Azmi
Pei, Wong LI
TypeJournal Article
Date2013
Published inInformation and Communication Technology (PICICT), 2013 Palestinian International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Information Technology [178]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback