Lymph Node Image Segmentation Based on Improved FCM Clustering and Multi-threshold
The pathological change of lymph node is an important basis of malignant tumor detection and judgment of metastasis of cancer (lung cancer,colorectal cancer,breast cancer,liver cancer,cervical cancer,etc.) An algorithm of lymph node image segmentation based on improved FCM clustering and multi-threshold is proposed to segment the lymph CT image with blurred edge.First,the improved FCM peak clustering is used to sharpen the fuzzy boundary of lymph CT image effectively.Then the multi-threshold algorithm based on image entropy change is introduced to segment enhanced images.The experiment shows that the above algorithm can obtain better segmentation results compared with the traditional FCM clustering method in the case of the fuzzy edge of the lymph node tissue.
fuzzy C-means (FCM) peak algorithm multi-threshold algorithm lymph node image segmentation
Yanling Zhang Yueiia Zhang Li Li
School of Computer,Guangzhou University Guangzhou,510006,China Sun Yat-sen University Cancer Center Guangzhou,510080,China
国际会议
郑州
英文
1446-1450
2013-10-19（万方平台首次上网日期，不代表论文的发表时间）