Analysis of mammograms using fractal features

Author

Sankar, Deepa ; Thomas, Tessammma

Author_Institution

Dept. of Electron., Cochin Univ. of Sci. & Technol., Kochi, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

936

Lastpage

941

Abstract

Medical images like mammograms are very difficult to analyze because of their low contrast. Different fractal features are used for analyzing mammograms in this paper. The new fractal feature derived from the modified average image is found to be a better feature for distinguishing between normal, malignant, benign and mammograms with microcalcifications. The study is performed on the mammograms obtained from the online Mammographic Image Analysis Society (MIAS) Digital Mammogram database. The average values of the new normalized fractal feature for normal, mammogram with microcalcifications, benign and malignant tumors are obtained as 0.148, 0.437, 0.3145, and 0.5465 respectively.

Keywords

X-ray imaging; biocomputing; biological organs; cancer; fractals; mammography; medical image processing; tumours; visual databases; benign; digital mammogram database; fractal features; malignant tumors; mammograms analysis; mammographic image analysis society; microcalcifications; modified average image; Benign tumors; Breast cancer; Cancer detection; Fractals; Image analysis; Image databases; Image texture analysis; Malignant tumors; Shape measurement; Spatial databases; Breast Cancer; Microcalcifications; benign; fractal dimension; fractal feature; malignant;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393875

Filename

5393875