超音波乳腺腫瘍画像におけるファジィクラスタリングを用いたテクスチャに基づく自動領域分割

抄録

Segmentations of ultrasound images are the basis of automatic detection and characterization of breast cancer computer-aided diagnosis systems. Many segmentation methods have been developed and a challenge of this work is that we have to accommodate artifacts, such as the speckle, as well as the fuzziness of lesion boundaries. In this paper, we present an automatic texture-based segmentation algorithm for breast ultrasound images. The framework of this method can be depicted by two parts: 1) extracting texture energy features, 2) doing fuzzy c-mean clustering in texture domain.