Abstract: Breast cancer is the second major cause of death among women. Early detection is a key factor to reduce the cause of deaths. Ultrasound imaging is one of the most common procedures for diagnosing breast cancer due to its portability, simplicity and cost effectiveness. Microcalcifications (calcium deposits) are the earliest signs of breast carcinomas and their detection is one of the key issues for breast cancer control. Computer Aided Diagnosis (CAD) schemes was an active field of research in the past few years, and these CAD systems serve as a second decision tool for radiologists to discover Microcalcifications in the ultrasound image. This paper aims to detect the Microcalcifications in Ultrasound images. Steps of the research consist of Image Pre-processing using Median Filter and contrast enhancement, determining the ROI using Watershed segmentation, measuring the intensity, area and energy of the cancer image and classification is done using Artificial Neural Network method. The algorithm is implemented using MATLAB environment.
Keywords: Median filter, Ultrasound, Watershed Segmentation, Artificial Neural Network.
Title: Detection of Micro Calcifications in Ultrasound Images
Author: Dr. Minavathi, Amrutha M
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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