A New Approach to Microcalcification Detection Using Fuzzy Soft Set Approach
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 2
Abstract
This paper presents a new computer aided detection method for identifying malignant images in digital mammograms using fuzzy soft set theory approach. Fuzzy soft set theory is a mathematical model based on parameterization concept for solving uncertainties and we have implemented a more efficient decision making method using fuzzy soft aggregation operator. This method helps the radiologists to classify normal and malignant images from a set of mammogram images and also gives information regarding the intensity of malignancy in each abnormal image. After the preprocessing, images are segmented using hierarchical fuzzy cmeans clustering with features incorporated. Among the 14 features, 9 important features are selected for fuzzy soft set implementation. Experiments are performed on publicly available MIAS dataset and the results are evaluated with the help of a radiologist. This algorithm shows a recognition accuracy of 93.97% in the detection of malignant images.
Authors and Affiliations
SREEDEVI S , ELIZABETH SHERLY
Keywords
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