Non-Extensive Entropy for CAD Systems of Breast Cancer Images

Recent statistics show that breast cancer is a major cause of death among women in all of the world. Hence, early diagnostic with Computer Aided Diagnosis (CAD) systems is a very important tool. This task is not easy due to poor ultrasound resolution and large amount of patient data size. Then, initial image segmentation is one of the most important and challenging task. Among several methods for medical image segmentation, the use of entropy for maximization the information between the foreground and background is a well known and applied technique. But, the traditional Shannon entropy fails to describe some physical systems with characteristics such as long-range and longtime interactions. Then, a new kind of entropy, called nonextensive entropy, has been proposed in the literature for generalizing the Shannon entropy. In this paper, we propose the use of non-extensive entropy, also called q-entropy, applied in a CAD system for breast cancer classification in ultrasound of mammogra...

• Type: Conference
• Year: 2006
• Where: SIBGRAPI
• Authors: Paulo S. Rodrigues, Ruey-Feng Chang, Jasjit S. Suri
• Keywords: Computer Graphics, Non-extensive Entropy, Shannon Entropy, SIBGRAPI 2006, Traditional Shannon Entropy