Title :
Fuzzy logic based microcalcification detection
Author :
Pandey, Neel ; Salcic, Zoran ; Sivaswamy, Jayanthi
Author_Institution :
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
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;
Conference_Titel :
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6278-0
DOI :
10.1109/NNSP.2000.890145
