Breast ultrasound images gland segmentation

Author

Braz, R. ; Pinheiro, António M G ; Moutinho, J. ; Freire, Mário M. ; Pereira, Manuela

Author_Institution

Inst. de Telecomun., Univ. of Beira Interior, Covilha, Portugal

fYear

2012

fDate

23-26 Sept. 2012

Firstpage

1

Lastpage

6

Abstract

This paper introduces a study for the segmentation of the breast ultrasound images. The objective is to separate the breast gland, which is the region of interest for the breast cancer diagnosis, from other tissues. Images are pre-processed with four different algorithms that consider the image surrounding: speckle reducing anisotropic diffusion, homomorphic filter, Perona and Malik non-linear diffusion and Moran index. For each image pixel a four bins descriptor is created composed by the corresponding pixels of each of these preprocessed images.

Keywords

biomedical ultrasonics; cancer; image segmentation; medical image processing; Moran index; Perona and Malik nonlinear diffusion; breast cancer diagnosis; breast ultrasound images gland segmentation; homomorphic filter; image surrounding; speckle reducing anisotropic diffusion; Accuracy; Breast; Glands; Image segmentation; Support vector machines; Training; Ultrasonic imaging; Breast Cancer; Breast Segmentation; Breast Ultrasound; Tissue Separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on

Conference_Location

Santander

ISSN

1551-2541

Print_ISBN

978-1-4673-1024-6

Electronic_ISBN

1551-2541

Type

conf

DOI

10.1109/MLSP.2012.6349748

Filename

6349748