| MRT letter: Quantum noise removal and classification of breast mammogram images. | |
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MedLine Citation:
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PMID: 23034955 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Because of the limitations of the X-ray hardware systems in mammogram machines, the quality of the breast mammogram images may undergo from poor resolution or low contrast. Quantum noise occurs in the mammogram images during acquisition due to low-count X-ray photons. In this work, an adaptive frost filter has been used to remove quantum noise. Local binary patterns have been extracted to classify breast mammograms into benign and malignant using different classifiers. Results show the superiority of the proposed algorithm in terms of sensitivity, specificity, and accuracy. Mammographic Institute Society Analysis database of mammography has been used for experimentation. Peak signal-to-noise ratio and structural similarity index measure are used to test the validity of adaptive frost filter. Experiment results show that proposed technique produces better results. Microsc. Res. Tech. 2012. © 2012 Wiley Periodicals, Inc. |
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Authors:
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M Talha Naseem; Ghazali Bin Sulong; M Arfan Jaffar |
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Publication Detail:
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Type: LETTER Date: 2012-10-4 |
Journal Detail:
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Title: Microscopy research and technique Volume: - ISSN: 1097-0029 ISO Abbreviation: Microsc. Res. Tech. Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-4 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9203012 Medline TA: Microsc Res Tech Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Wiley Periodicals, Inc. |
Affiliation:
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College of Science Research Centre, King Saud University, Riyadh, Saudi Arabia; Faculty of Computer Science and Information Systems, Universiti Teknologi, Malaysia. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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