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3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts
2017
BioMed Research International
Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many years of research, 3D liver tumor segmentation remains a challenging task. In this paper, an efficient semiautomatic method was proposed for liver tumor segmentation in CT volumes based on improved fuzzy C-means (FCM) and graph cuts. With a single seed point, the tumor volume of interest (VOI) was
doi:10.1155/2017/5207685
pmid:29090220
pmcid:PMC5635475
fatcat:frcdyiwyhbfxhnj3jwqryh2bby