An Efficient Tumor Extraction Algorithm using Segmentation of Multimodal Medical Images

A tumor is a mass of tissue that grows out of control of the normal forces that regulates growth. The detection of tumor and its quantitative analysis allows obtaining useful key indicators of disease progression at early stages. Tumor detection using segmentation embraces a significant position in the region of image processing. It becomes more and more significant while dealing with multimodal images such as Magnetic resonance (MR), ultrasonic, Computed Tomography (CT) and X-ray images. This paper presents a well organised technique for automatic tumor segmentation for the extraction of tumor tissues using multimodal MR. The proposed method uses region based and edge based segmentation combined with morphological processing.