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A Quantitative Study of Local Ternary Patterns for Risk Assessment in Mammography

Rampun, Andrik, Morrow, PJ, Scotney, BW and Winder, RJ (2017) A Quantitative Study of Local Ternary Patterns for Risk Assessment in Mammography. In: International Conference on Innovation in Medicine and Healthcare 2017, Vilamoura, Portugal. Springer. Vol 71 4 pp. [Conference contribution]

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URL: http://dx.doi.org/10.1007/978-3-319-59397-5_31

DOI: 10.1007/978-3-319-59397-5_31

Abstract

This paper presents a preliminary quantitative study for breast cancer risk assessment in mammography using mathematical operators called Local Ternary Patterns. The study covers three different mapping patterns namely uniform (‘u2’), nonuniform (‘ri’) and a combination of uniform and nonuniform (‘riu2’). These patterns are used as texture features to model the appearance of breast density within the fibroglandular disk area. Subsequently, the Support Vector Machine is employed as a classification approach and initial results suggest that the mapping pattern ‘riu2’ outperforms the others.

Item Type:Conference contribution (Paper)
Keywords:Computer Aided Diagnosis, Local Ternary Patterns, Breast Cancer and Mammography
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Institute of Nursing and Health Research
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:38193
Deposited By: Professor Philip Morrow
Deposited On:19 Jun 2017 13:45
Last Modified:21 May 2018 22:23

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