Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies†
School of Computing, Ulster University, Coleraine BT52 1SA, UK
School of Computing, Ulster University, Jordanstown, Newtownabbey BT37 0QB, UK
School of Health Sciences, Ulster University, Newtownabbey BT37 0QB, UK
This paper is an extended version of our paper published in Annual Conference on Medical Image Understanding and Analysis, Edinburgh, UK, 11–13 July 2017.
Authors to whom correspondence should be addressed.
Received: 27 October 2017 / Revised: 8 December 2017 / Accepted: 5 January 2018 / Published: 8 January 2018
This paper presents an extension of work from our previous study by investigating the use of Local Quinary Patterns (LQP) for breast density classification in mammograms on various neighbourhood topologies. The LQP operators are used to capture the texture characteristics of the fibro-glandular disk region (
) instead of the whole breast area as the majority of current studies have done. We take a multiresolution and multi-orientation approach, investigate the effects of various neighbourhood topologies and select dominant patterns to maximise texture information. Subsequently, the Support Vector Machine classifier is used to perform the classification, and a stratified ten-fold cross-validation scheme is employed to evaluate the performance of the method. The proposed method produced competitive results up to
accuracy based on 322 and 206 mammograms taken from the Mammographic Image Analysis Society (MIAS) and InBreast datasets, which is comparable with the state-of-the-art in the literature.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Rampun, A.; Scotney, B.W.; Morrow, P.J.; Wang, H.; Winder, J. Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies. J. Imaging 2018, 4, 14.
Rampun A, Scotney BW, Morrow PJ, Wang H, Winder J. Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies. Journal of Imaging. 2018; 4(1):14.
Rampun, Andrik; Scotney, Bryan W.; Morrow, Philip J.; Wang, Hui; Winder, John. 2018. "Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies." J. Imaging 4, no. 1: 14.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
Multiple requests from the same IP address are counted as one view.