Filtering, Segmentation and Feature Extraction in Ultrasound Evaluation of Breast Lesions

Abstract

Abstract. The early diagnosis of breast cancer depends in many cases on the analysis of medical imaging, mainly mammography, ultrasonography and MRI. This work deals with ultrasound images in order to reduce speckle noise, identify the contour of the nodules and analyze a wide range of criteria which allow distinguishing between benign and malignant tumors. We try to automatize the different phases of the process and extract some objective parameters for a robust and reproducible diagnosis. We provide the physicians with both graphical as well as numerical results for the features which have been analyzed.

A Study of Computerized Techniques Used in Ultrasound Breast Cancer Detection

“…The lesion predicted is then classified based on its density value. The lesion is resulted in being malignant [8] Since, ultrasound screening is the initial scanning device, but the output of a scanned image will not be predictably good. Thus, the radiologist would refer to tests like the biopsy, pathology test, and physical test if the scanned image is in the form of an assumption.…”