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 91
- Downloads 0
REINFORCEMENT LEARNING IN COMPLEX REAL WORLD DOMAINS: A REVIEW
Reinforcement Learning is an area of Machine Learning inspired by behaviorist psychology based on the mechanism of learning from rewards. RL does not require prior knowledge and automatically get optimal policy with the...
PREFERENCES OF TEACHERS AND STUDENTS FOR AUTO GENERATION OF SENSITIVE TIMETABLE: A CASE STUDY
A large amount of tools are available for generating timetable based on the constraints provided by user. The tools generally consider those constraints which are insensate and which are unavoidable. They emphasize mainl...
Low Contrast Image Enhancement Using Adaptive Filter and DWT: A Literature Review
Image enhancement refers to accentuation, or sharpening of image features such as edges, boundaries or contrast to make a graphic display more useful for display and analysis. One of the most common defects of photograph...
SEGMENTATION OF OPTIC DISC IN FUNDUS IMAGES
Glaucoma is one of the leading eye diseases that cause blindness. Early detection of glaucoma is essential to minimize the risk of visual loss of diabetic patients. A standard procedure that is used for the detection of...
A STUDY ON DIFFERENT FEATURE EXTRACTION TECHNIQUES FOR LESION IDENTIFICATION IN MRI BREAST IMAGES
This study discusses the different feature extraction techniques for lesion identification in Dynamic Contrast Enhancement - Magnetic Resonance Imaging (DCE - MRI) of Breast. In DCE- MRI, kinetic feature extraction is a...