期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2016
卷号：7
期号：2
页码：46-53
出版社：Engg Journals Publications
摘要：This paper presents a new computer aided detection method for identifying malignant images in digitalmammograms using fuzzy soft set theory approach. Fuzzy soft set theory is a mathematical model based onparameterization concept for solving uncertainties and we have implemented a more efficient decision makingmethod using fuzzy soft aggregation operator. This method helps the radiologists to classify normal andmalignant images from a set of mammogram images and also gives information regarding the intensity ofmalignancy in each abnormal image. After the preprocessing, images are segmented using hierarchical fuzzy cmeansclustering with features incorporated. Among the 14 features, 9 important features are selected for fuzzysoft set implementation. Experiments are performed on publicly available MIAS dataset and the results areevaluated with the help of a radiologist. This algorithm shows a recognition accuracy of 93.97% in the detectionof malignant images.
