Fuzzy C-Means Clustering Technique For Cancer Detection In Ultrasound Images

Detecting tumor areas in breast Ultrasound (US) images is a challenging task. The occurrence of benign areas in breast may result in false identification of malignant areas which may have serious outcome. The CAD system can act as a major function in the early detection of breast cancer and can decrease the death rate among women with breast cancer. This challenge is especially daunting in non homogenous noisy US Images where benign and malignant images are difficult to identify. The US images possess speckle noise which is its inherent property. This study is an attempt to reduce false alarm in Breast cancer detection using computationally efficient fuzzy based image clustering. The images are obtained from the famous American Cancer database for conducting experiments.