DocumentCode :
3306500
Title :
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
Link To Document :
بازگشت