Pixel Image Segmentation of Cerebral Hematoma Based on U-Net and Clustering

Intracerebral hemorrhage is a disease with high fatality rate, and the expansion of hematoma caused by hemorrhage is one of the factors leading to poor prognosis. Fast and accurate segmentation of the contours of cerebral hematoma will help doctors to make diagnosis to a large extent. In order to solve the problem of insufficient precision of U-net segmentation, pixel image segmentation based on U-net and clustering is proposed. The CT images are divided into multiple channels by preprocessing, and on this basis, the cluster is processed twice, and then they enter the improved U-net network respectively. Finally, multiple results are fused to obtain the final segmentation result.