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：5
页码：189-202
出版社：Engg Journals Publications
摘要：This study discusses the different feature extraction techniques for lesion identification inDynamic Contrast Enhancement - Magnetic Resonance Imaging (DCE - MRI) of Breast. In DCE- MRI,kinetic feature extraction is a popular radiological approach used by Radiologists. However, extractingmore features like entropy, homogeneity, heterogeneity, and statistical features of the region of interestswould enhance the accuracy of lesion diagnosis, especially in ‘not sure' (plateau) cases. This paperdiscuss about a survey of different feature extraction techniques such as structural, statistical, modelbasedand transform based methods. The paper also advocates a comparative study of feature extractionusing statistical and intensity time kinetic curve methods. These two features are employed inunderstanding the prominence of malignancy in the lesion.
