Segmentation of Intracranial Hemorrhage CT Image Based on FCM Clustering Algorithm

To develop a computer aided detection system that improves diagnostic accuracy of intracranial hemorrhage(IH) on brain CT.A novel method for CT image segmentation of brain is proposed, with which, several regions that are suspicious of hemorrhage can be segmented rapidly and effectively.Algorithm of extracting intracranial area was introduced firstly to extract intracranial area.Secondly, FCM was employed twice, we named it with TFCM.FCM was first employed to identify areas of intracranial hemorrhage.Finally, FCM was employed to segment the lesions.Experimental results on real medical images demonstrate the efficiency and effectiveness of the proposed algorithm.