Segmentation and classification of breast cancer cells in histological images

Author

Essafi, S. ; Doughri, R. ; Hiri, S.M. ; Ben Romdhane, K. ; Ghorbel, F.

Author_Institution

Cristal Lab., Campus Univ. de la Manouba

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1097

Lastpage

1102

Abstract

In this paper, we propose a new treatment for the detection of tumoral cells of breast cancer. First segmentation is processed on breast cells with the watershed mathematical morphology process. The cells are then described by a set of complete and stable invariant based on Fourier descriptors. Finally the PCA is performed to classify the cells to normal and tumoral - marked and unmarked - ones. The rate of tumoral cells will allow a diagnostic help for pathologists

Keywords

Fourier transforms; cancer; image classification; image segmentation; mathematical morphology; medical image processing; principal component analysis; tumours; Fourier descriptor; breast cancer cell; discriminant analysis; histological image; image classification; image segmentation; principal component analysis; shape recognition; tumoral cell detection; watershed mathematical morphology; Anatomy; Biomedical imaging; Breast cancer; Cancer detection; Diseases; Image segmentation; Medical diagnostic imaging; Morphology; Principal component analysis; Shape; Breast Cancer; Discriminant Analysis; Fourier Descriptors; Histology; Segmentation; Shape Recognition; Watershed;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies, 2006. ICTTA '06. 2nd

Conference_Location

Damascus

Print_ISBN

0-7803-9521-2

Type

conf

DOI

10.1109/ICTTA.2006.1684527

Filename

1684527