Improved breast tumor extraction in echographic images using fuzzy reasoning

Author

Liu, Xiaoqiang ; Cheng, Xiangyong ; Itoh, Kouichi ; Omoto, Kiyoka ; Akiyama, Iwaki

Author_Institution

Imaging Syst., Mitani Sangyo Co. Ltd., Tokyo, Japan

Volume

2

fYear

1999

fDate

36434

Abstract

Precise extraction of the breast tumor region is essential for differentiation of breast cancer from benign tumors. In this paper, an improved algorithm for extracting the tumor region based on fuzzy logic, in which the fuzzy membership function is automatically generated by using a three-dimensional Laplacian of Gaussian filtering with two kinds of standard deviations, is presented. The results for over 100 clinical cases have shown the consistency and accuracy of the proposed method

Keywords

Gaussian processes; Laplace transforms; biomedical ultrasonics; cancer; fuzzy logic; image segmentation; mammography; medical image processing; tumours; Gaussian filtering; benign tumors; breast cancer differentiation; echographic images; fuzzy logic; fuzzy membership function; fuzzy reasoning; improved breast tumor extraction; three-dimensional Laplacian; tumor region; Biomedical imaging; Breast cancer; Breast neoplasms; Breast tumors; Data mining; Filtering; Fuzzy logic; Fuzzy reasoning; Laplace equations; Pathology;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804075

Filename

804075