CONTENT-BASED IMAGE RETRIEVAL TECHNIQUES FOR MAMMOGRAPHIC IMAGES USING SOFT COMPUTING TECHNIQUES
Sumit Chopra · International Journal of Advanced Research in Computer Science · 2017
Content-based image Retrieval has been one of the lively research in the field of the computer science over the last decade or so. Many programs and tools have been used to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. But still a lot of work needs to be done in case of mammographic images. Breast cancer has been one of the causes of the increasing death of the European women. Early diagnosis of the breast cancer can save one’s life while incorrect diagnosis can lead a patient to unwanted stress and treatment. In this paper, a survey of the techniques used for the various steps of Content-Based Image Retrieval of Mammograms is done. Section 1 gives the general introduction to Content-Based Image Retrieval for Mammographic Images. Section 2 details about the various techniques used for pre-processing of the Mammographic images. Section 3 provided a survey of the various algorithms used for segmentation of the pectoral muscles from the mammogram. Section 4 briefs about various feature extraction and selection methods for mammographic images. Section 5 survey the various algorithms for detection and classification of abnormalities in mammograms.