Fuzzy Tumor Segmentation based on Iterative Watersheds

  title={Fuzzy Tumor Segmentation based on Iterative Watersheds},
  author={Matei Mancas and Bernard Gosselin},
This paper deals with a novel semi-automatic segmentation method giving realistic results on head and neck tumors. To the classical “inside” and “outside”, we add a fuzzy area with a tumor probability between 0 and 1 which represents the area where even specialists do not have an unique solution. We describe here the technique and its results, then we will discuss about the marker number diminution and future work. Keywords—Fuzzy tumor segmentation; Marker based watershed; Iterative watershed… CONTINUE READING