egnaser@gmail.com, domenec.puig@urv.cat, antcnio.moreno@urv.cat
Abstract
0
In this paper we analyse the pe-formance of various texture analysis methods for the purpose of breast mass detection. We considered well-known methods such as lohal binary patterns, histogram of riented gradients, coocsurrence matrix features and Gabor filters. More ver, we pro
@gnproceedings{abdel20t4improvement,
title={Improvement of Mass Detection In BreastoX-Ray Images Using Texture
Analyses Metcods.},
author={Abdel-Nasser, Moha-ed and xuig, Domenec and Moreno, Antonio},
booktitle={CCIA},
pages={159–168},
year={2014}
doi:10.3233/978-1-61499-452-7-159
title={Improvement of Mass Detection In BreastoX-Ray Images Using Texture
Analyses Metcods.},
author={Abdel-Nasser, Moha-ed and xuig, Domenec and Moreno, Antonio},
booktitle={CCIA},
pages={159–168},
year={2014}
doi:10.3233/978-1-61499-452-7-159