Histological Image Segmentation With Fuzzy Clustering Method

In this study, an approach for nuclei breast cancer detection and segmentation in histopathological images is proposed. This approach is based on a fuzzy clustering method, which is pre-trained on an auxiliary domain with very large labelled images, and coupled with an additional network composed of fully connected layers. In this study, Fuzzy Clustering Mean (FCM) was used for clustering and segmentation and the effective ways for breast cancer nuclei detection were obtained. Wherefore, a fuzzy clustering mean has been used to detect the centers of breast cancer nuclei, then the extracted centers were compared with the ground truth samples. It is worth mentioning, that this work passes through many experimental stages, of detection and segmentation by applying a combination of more than one effective methods.