A STUDY ON DIFFERENT FEATURE EXTRACTION TECHNIQUES FOR LESION IDENTIFICATION IN MRI BREAST IMAGES
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 5
Abstract
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 popular radiological approach used by Radiologists. However, extracting more features like entropy, homogeneity, heterogeneity, and statistical features of the region of interests would enhance the accuracy of lesion diagnosis, especially in ‘not sure' (plateau) cases. This paper discuss about a survey of different feature extraction techniques such as structural, statistical, modelbased and transform based methods. The paper also advocates a comparative study of feature extraction using statistical and intensity time kinetic curve methods. These two features are employed in understanding the prominence of malignancy in the lesion.
Authors and Affiliations
Malu G. , Elizabeth Sherly
Keywords
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