A novel detection on automatic brain tumor tissue based on hierarchical centroid shape descriptor in t1-weighted Mr images
The brain tumor tissue detection allows localizinga mass of abnormal cells in a slice of Magnetic Resonance (MR). The automatization of this process is useful for post processing of the extracted region of interest like the tumor segmentation. In order to detect this abnormal growth of tissue in an image, this paper presents a novel scheme which uses a two-step procedure; the k-means method and the Hierarchical Centroid Shape Descriptor (HCSD).