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المؤلفPeyret R.
المؤلفKhelifi F.
المؤلفBouridane A.
المؤلفAl-Maadeed, Somaya
تاريخ الإتاحة2022-05-19T10:23:12Z
تاريخ النشر2017
اسم المنشورBioSMART 2017 - Proceedings: 2nd International Conference on Bio-Engineering for Smart Technologies
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/BIOSMART.2017.8095322
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31133
الملخصCancer is classified by the World Health Organisation as a worldwide problem and its effect is increasing. A timely diagnosis is crucial and an early detection can be vital leading to an effective diagnosis. This paper proposes an automated classification system of prostate cancer using multispectral imagery for an early detection. It revolves around a block based texture analysis that uses multiscale multispectral local binary pattern texture features combined with a bagging ensemble method and codebooks. Extensive experiments have been carried out using a real dataset and the result obtained show an accuracy of 96.0%. The findings were also analysed and compared against a few existing and similar techniques and the results suggest that the proposed approach is attractive.
راعي المشروع*This work is supported by the Qatar National Research Fund through National Priority Research Program (NPRP) No 6-249-1-053. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the Qatar National Research Fund or Qatar University.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعBins
Urology
Automated classification systems
Automatic diagnosis
Ensemble methods
Local binary patterns
Multi-spectral imagery
Prostate cancers
Texture analysis
Texture features
Diseases
العنوانAutomatic diagnosis of prostate cancer using multispectral based linear binary pattern bagged codebooks
النوعConference Paper
dc.accessType Abstract Only


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