LBP features for breast cancer detection

Abstract

Cancer is nowadays considered as one of the most dangerous diseases in the world. Especially, breast cancer represents for women the second most common type of cancer and is a main cause of cancer dead. This paper presents a novel method for breast cancer detection from mammographic images based on Local Binary Patterns (LBP). This approach successfully uses LBP based features with a classifier and thresholding. The proposed method is evaluated on a set composed of images extracted from MIAS and DDSM databases. We have experimentally shown that the proposed method is efficient and effective because the achieved accuracy is about 84%.

DOI: 10.1109/ICIP.2016.7532838

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Cite this paper

@article{Krl2016LBPFF, title={LBP features for breast cancer detection}, author={Pavel Kr{\'a}l and Ladislav Lenc}, journal={2016 IEEE International Conference on Image Processing (ICIP)}, year={2016}, pages={2643-2647} }