Decision system based on fuzzy logic for detection of architectural distortion
DOI:
https://doi.org/10.15332/iteckne.v9i2.2764Keywords:
Breast cancer, Architectural distortion, Mammography, Digital image processing, Computer aided diagnosisAbstract
Architectural distortion is an abnormal change in the mammary gland tissue with the consequent formation of thin and speculated lesions that are not associated with the presence of a mass. It is the third most common mammographic finding and because of its subtlety it is the first cause of false-negative findings on screening mammograms.This paper presents the design, implementation and test of a new method that serves as support for the detection of architectural distortion in the mammary gland from breast radiology images. The method proposed here assists the specialists in the diagnosis of breast cancer through four main phases,which encompass from the preprocessing to the classification of regions of interest using a classifier based on fuzzy logic. The method described in this paper was validated through the analysis of mammographic images from DDSM (Digital Database for Screening Mammography) obtaining values of 90.7% in the overall accuracy.This result is a very important contribution and encourages the research in order to reduce the high number of misdiagnoses that are currently presented and lead to the high rates of morbidity from breast cancer.
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