Fuzzy logic based microcalcification detection

Author

Pandey, Neel ; Salcic, Zoran ; Sivaswamy, Jayanthi

Author_Institution

Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand

Volume

2

fYear

2000

fDate

2000

Firstpage

662

Abstract

A fuzzy method for detecting mammographic microcalcifications is proposed. The fuzzy detection algorithm examines the degree of membership in terms of brightness, distance and variance, and then assigns an output value which represents the likelihood of the pixel being a microcalcification. The microcalcification detection (MCD) algorithm is implemented using software and a hardware platform. The MCD algorithm shows encouraging results, which can be further improved in terms of accuracy and time performance

Keywords

brightness; cancer; feature extraction; fuzzy logic; mammography; medical image processing; software performance evaluation; accuracy; breast cancer; brightness; distance; fuzzy detection algorithm; fuzzy logic; fuzzy membership degree; mammographic microcalcification detection algorithm; output value assignment; time performance; variance; Breast cancer; Brightness; Cancer detection; Detection algorithms; Fuzzy logic; Hardware; Humans; Neoplasms; Radio access networks; Software algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop

Conference_Location

Sydney, NSW

ISSN

1089-3555

Print_ISBN

0-7803-6278-0

Type

conf

DOI

10.1109/NNSP.2000.890145

Filename

890145