A Study on Morphological and Textural Features for Classifying Breast Lesion in Ultrasound Images
نویسندگان
چکیده
Developing a Computer Aided Diagnosis (CAD) system for Breast Ultrasound (BUS) is a high exigent work in medical imaging analysis systems. BUS detects abnormalities or suspicious regions accurately that is misspelled by mammogram, and helps to find the varying degrees of malignancy. Extracting discriminating features in CAD is a most prominent task that results in good diagnosis. This study analyzed and investigated thirty three quantitative Morphological features and thirty eight Textural features (six Histogram, fourteen GLCM, eleven GLRLM, Fractal Dimension and six Tamura) of breast lesions on ultrasound image for prediction and classification of benign and malignant tumor through Computer Aided Diagnosis System.
منابع مشابه
Segmentation And Classification Of Breast Lesions In Ultrasound Images
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