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
Related Articles
- EP ID EP144044
- DOI -
- Views 110
- Downloads 0
COMPARISON OF PURITY AND ENTROPY OF K-MEANS CLUSTERING AND FUZZY C MEANS CLUSTERING
Clustering is one the main area in data mining literature. There are various algorithms for clustering. The evaluation of the performance is done by validation measures. The external validation measures are used to measu...
INTENSITY BASED IMAGE SEGMENTATION USING WAVELET ANALYSIS AND CLUSTERING TECHNIQUES
Image segmentation is becoming popular as it plays a active and dominant role in image analysis and image retrieval.Inorder to speed up the process of segmentation the concept of wavelets has been introduced that is a mu...
FUSION OF MULTI FOCUSED IMAGES USING HDWT FOR MACHINE VISION
During image acquisition in machine vision, due to limited depth of field of lens, it is possible to take clear image of the objects in the scene which are in focus only. The remaining objects in the scene will be out of...
Elimination of Estimation biases in the Software Development
The software effort estimations are usually too low and the prediction is also a very difficult task as software is intangible in nature. Also the estimation is based on the parameters that are usually partial in nature....
COMPUTATIONAL MODELS FOR SUSTAINABLE DEVELOPMENT
Genetic erosion is a serious problem and computational models have been developed to prevent it. The computational modeling in this field not only includes (terrestrial) reserve design, but also decision modeling for rel...