期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：3
页码：3267
DOI：10.15680/IJIRSET.2016.0503103
出版社：S&S Publications
摘要：Developing a Computer Aided Diagnosis (CAD) system for Breast Ultrasound (BUS) is a high exigentwork in medical imaging analysis systems. BUS detects abnormalities or suspicious regions accurately that ismisspelled by mammogram, and helps to find the varying degrees of malignancy. Extracting discriminating features inCAD is a most prominent task that results in good diagnosis. This study analyzed and investigated thirty threequantitative Morphological features and thirty eight Textural features (six Histogram, fourteen GLCM, elevenGLRLM, Fractal Dimension and six Tamura) of breast lesions on ultrasound image for prediction and classification ofbenign and malignant tumor through Computer Aided Diagnosis System.
