DocumentCode
3529193
Title
Texture analysis techniques for the classification of microcalcifications in digitised mammograms
Author
Kramer, Dani ; Aghdasi, Farzin
Author_Institution
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
Volume
1
fYear
1999
fDate
1999
Firstpage
395
Abstract
We present various image texture analysis techniques for the classification of microcalcifications in digitised mammograms. Three categories of image texture features are extracted from the microcalcifications. The set of features based on a combined statistical and multiresolution approach to texture analysis gave the best results. Both a k-nn classifier and an artificial neural network are used for classification
Keywords
cancer; feature extraction; feedforward neural nets; image classification; image resolution; image texture; mammography; medical image processing; statistical analysis; artificial neural network; digitised mammograms; features; image texture analysis techniques; k-nn classifier; microcalcification classification; multiresolution approach; statistical approach; Biopsy; Breast cancer; Diagnostic radiography; Feature extraction; Image segmentation; Image texture; Image texture analysis; Lesions; Statistical analysis; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Africon, 1999 IEEE
Conference_Location
Cape Town
Print_ISBN
0-7803-5546-6
Type
conf
DOI
10.1109/AFRCON.1999.820877
Filename
820877
Link To Document